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Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft’s Defender organization. The company is venture-backed and has not yet been publicly announced. \n \n Company Description \n Clusia is the first AI-native assurance firm for companies that move money. \n \n We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year — including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia’s software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. \n \n We believe the next great assurance firm will be built like a software company. Clusia is building that firm — bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. \n \n Role Description \n We are looking for a small number of engineers to work closely with the CTO and our founding engineers. \n \n This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you’ll own important parts of the product and company from the beginning -- from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. \n \n You won’t be handed a neatly scoped ticket queue. You’ll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. \n \n Compensation range: $130,000 - $200,000 base salary + equity and benefits \n \n Note: This role is in-person in New York City and you are required to ship code. \n \n Why Join \n\n • Compliance tech is next up. We believe compliance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record.\n, • We’re building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high.\n, • Your work will matter at global scale. The systems we’re building will power critical operations for some of the largest financial institutions and technology companies in the world.\n, • You’ll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition.\n\n \n Qualifications \n\n • AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems.\n, • Full-stack product engineering: You can build clean, reliable product experiences end to end.\n, • Infrastructure depth: You’re comfortable with cloud services, deployment, observability, reliability, and security.\n, • AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality.\n, • Startup execution mindset: You’re pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems.\n, • Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution.\n, • Creating: You’ve built things outside of work -- maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.\n

Customs and Border Protection Officer (CBPO)\n With more than 69,000 employees, U.S. Customs and Border Protection (CBP) is one of the world’s largest law enforcement organizations and the largest federal law enforcement agency within the Department of Homeland Security. Discover a challenging and rewarding career with the sole organization responsible for securing the nation's borders from terrorism, human/drug smuggling, illegal migration, agricultural pests, and enforcing legitimate travel and trade. CBP employees demonstrate the highest level of commitment to exemplify the core values of Vigilance, Service to Country and Integrity. \n As a Customs and Border Protection Officer (CBPO) within CBP, you will be a valuable member of the Federal Law Enforcement Officer (LEO) profession. \n CBP is urgently hiring to fill full-time, entry and mid-level, career positions where your education OR prior general or experience in public safety, security, military police or law enforcement may qualify. \n Along with excellent base pay, exceptional federal employment benefits, and job stability, CBP is offering additional recruitment and retention incentives (see details below). \n Duties \n Typical assignments include: \n\n • Enforcing customs, immigration, and agriculture law and regulations;\n, • Enforcing the flow of legitimate trade and travel;\n, • Conducting inspections of individuals and conveyances;\n, • Determining the admissibility of individuals for entry into the United States; and\n, • Preventing the illegal entry of individuals and prohibited goods and the smuggling of illegal drugs and other contraband\n\n Salary and Benefits \n Selections from this announcement will be at the GS-5, GS-7, or GS-9 grade levels with promotion potential to the GS-11 and GS-12 grade levels. Annual base salary for newly appointed CBPOs varies per grade, from $41,863 - $127,464 per year. A fully trained CBP Officer is eligible for up to $45,000 in overtime pay in addition to the starting salary. CBPOs are eligible to select from an array of federal employment benefits that include health, dental and other insurance plans, a generous annual and sick leave program, and participation in the Thrift Savings Plan, a retirement plan akin to a traditional ROTH 401(k) offering. \n Recruitment Incentive Newly appointed Customs and Border Protection Officers who select a prioritized location at the time of their final offer will be offered up to a $15,000 incentive per year with a three-year service contract. Prioritized locations include: Arizona: Douglas, Lukeville, Nogales, San Luis; California: Calexico; Hawaii: Honolulu; Maine: Eastport; Montana: Raymond, Roosville; New Mexico: Columbus; New York: Alexandria Bay, Champlain, Massena, Trout River; North Dakota: Dunseith, Portal; Texas: Eagle Pass; Washington: Blaine Recruitment Incentive Newly appointed Customs and Border Protection Officers who select a prioritized location at the time of their final offer will be offered up to a $15,000 incentive per year with a four-year service contract. Prioritized locations include: California: Otay Mesa, San Francisco, San Ysidro, Tecate; Florida: Key West; Maine: Calais, Houlton, Jackman, Madawaska, Van Buren, Vanceboro; Minnesota: Grand Portage, International Falls; Montana: Sweetgrass; North Dakota: Pembina; Texas: Presidio; Vermont: Beecher Falls, Derby Line, Highgate Springs, Norton, Richford; Washington: Oroville \n Duty Locations \n\n • Arizona: Douglas, Lukeville, Nogales, San Luis\n, • California: Andrade, Calexico, Otay Mesa, San Francisco, San Ysidro, Tecate\n, • Hawaii: Honolulu\n, • Maine: Calais, Eastport, Houlton, Jackman, Madawaska, Van Buren, Vanceboro\n, • Minnesota: Grand Portage, International Falls\n, • Montana: Raymond, Roosville, Sweetgrass, Wild Horse\n, • New Mexico: Columbus\n, • New York: Alexandria Bay, Champlain, Massena\n, • North Dakota: Dunseith, Maida, Pembina, Portal\n, • Texas: Eagle Pass, Presidio\n, • Vermont: Beecher Falls, Derby Line, Highgate Springs, Norton, Richford\n, • Washington: Blaine, Oroville\n\n NOTE: The above preference locations are expected to have vacancies available in the future, however, if the duty locations do not have vacancies at the time of your final offer, you may be offered a different duty location within the United States. Locations offered at the time of your final offer are based on operational and mission requirements as determined by the CBP Office of Field Operations. \n Qualifications \n GS-5: You qualify for the GS-5 grade level if you possess one of the following: \n Experience: A minimum of 3 years of general experience, 1 year of which was equivalent to at least GS-4, performing duties that required the ability to meet and deal with people and the ability to learn and be able to apply a body of facts; OR \n Education Substitution: A conferred bachelor's degree or successful completion of a full 4-year course of study in any field leading to a bachelor's degree from an accredited college or university; OR \n Combination of Experience and Education: A combination of general experience AND successfully completed college education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. \n GS-7: You qualify for the GS-7 grade level if you possess one of the following: \n Experience: A minimum of 1 year of specialized experience equivalent to at least the next lower grade level, that includes: \n\n • Performing physical inspections of persons, documents or goods for criminal activity, fraud, and/or illegal operations.\n, • Utilizing observational techniques, evaluating facts, and reviewing documentation while applying Federal, State, or local laws and regulations.\n, • Making determinations in compliance with laws and regulations that may lead to arrests, seizure of property, fines, and/or penalties based on findings.\n\n The above experience will be applied in connection with the CBPO Individual Occupational Requirement: Performing inspections work at borders, seaports, airports or other ports of entry and/or work involving preliminary screening of persons for entry and immigration status; or compliance/regulatory work. \n Education Substitution: A conferred bachelor's degree with superior academic achievement (SAA), which is based on (1) class standing, (2) grade-point average (i.e., GPA of 3.0 or higher out of a possible 4.0), or (3) honor society membership. Submitted transcripts must show the applicant does not have more than 10% pass/fail courses in order to qualify for SAA with GPA. OR One full year of graduate level education from an accredited college or university; OR \n Combination of Experience and Education: A combination of specialized experience equivalent to at least the next lower grade level AND successfully completed graduate level education. This will be calculated using your resume and official or unofficial transcripts submitted with your application. \n GS-9: You could qualify for the GS-9 grade level in one of the following ways: experience, education, or a combination of both. \n Experience: A minimum of 1 year of specialized experience equivalent to at least the next lower grade level that includes: \n\n • Detaining suspected violators of Federal, State, or local laws and/or arresting violators using proper law enforcement methods.\n, • Enforcing the laws and regulations relating to importing, exporting, and/or international shipping to and from the United States.\n, • Utilizing intelligence techniques and behavior analysis to identify potential threats and perform risk assessments for violations of laws and threats to national security.\n, • Conducting interviews in a law enforcement capacity for the purposes of gaining information from suspected violators of laws to determine the appropriate course of action.\n\n Education Substitution: A conferred master's (or higher) degree, or two or more years of progressively higher-level graduate education leading to such a degree, or an LL.B. or J.D. from an accredited college or university; OR \n Combination of Experience and Education: A combination of specialized experience AND successfully completed graduate level education beyond the first 18 semester hours. This will be calculated using your resume and official or unofficial transcripts submitted with your application. \n Knowledge, Skills, Abilities and Characteristics (KSAOs): Candidates who meet the minimum qualification requirements for the GS-9 grade level are required to possess certain KSAOs to successfully perform the functions of this position. The KSAOs are: \n\n • Knowledge of CBP laws, regulations, and precedents, as well as CBP Officer processes, techniques, activities and law enforcement procedures to enforce and administer laws related to the arrival and departure of persons, conveyances and merchandise\n, • Knowledge of proper law enforcement methods including, interrogating, searching, seizing, arresting, and self-defense for use in apprehension of terrorists, aliens or others suspected of illegal activity\n, • Ability to make rapid, accurate judgments and decisions with respect to the applications of the regulations, instructions, and procedures for importing, exporting or enforcing the administration of laws relating to the rights of persons to enter, reside in or depart from the United States\n, • Ability to control imports and exports to detect and prevent smuggling and fraud\n, • Ability to perform primary inspection by questioning and observing individuals\n\n Other Requirements \n Citizenship: You must be a U.S. Citizen to apply for this position. \n Residency: You must have had primary U.S. residency (includes protectorates as declared under international law) for at least three of the last five years. \n Age Restriction: In accordance with Public Law 100-238, this position is covered under law enforcement retirement provisions. Candidates must be referred for selection to the Border Patrol Agent position before reaching their 40th birthday in accordance with Department of Homeland Security Directive 251-03. The age restriction may not apply if you are currently serving or have previously served in a federal civilian law enforcement (non-military) position covered by Title 5 U.S.C. 8336(c) or Title 5 U.S.C. 8412(d). \n Veterans' Preference: You may also be eligible for an excepted service Veterans Recruitment Appointment (VRA). The age restriction does not apply if you are Veterans' Preference eligible. \n Formal Training: After you are hired, you will be detailed to the Federal Law Enforcement Training Center in Glynco, GA, for 103-days of intensive instruction in basic law enforcement skills, immigration laws, etc. Successful completion of the academy is required for this position. Candidates assigned to certain duty locations may be required to pass a Spanish training program. \n How to Apply: \n Click the Apply button on this site. You will be linked to the CBP Talent Network registration page. For Position of Interest, select Customs and Border Protection Officer, then complete the pre-screening questions. \n You'll then receive a link(s) to the BPA Job Opportunity Announcement (JOA) on USAJOBS, the federal government's official employment site, to complete your application. Be certain to review ALL details within the JOA and follow all instructions in the application process, including items (resume, transcripts, etc.) to submit. You will be evaluated based on your resume and supporting documents. Applicants selected at the GS-5 or GS-7 grade levels must also complete and pass the CBP Officer Entrance Exam. Exam. \n Note: This is a Direct Hire Authority announcement. All applicants who meet the minimum qualification requirements will be reviewed. Veterans' Preference and traditional rating and ranking of applicants do not apply to this vacancy. Veterans and Military Spouses will be considered along with all other candidates. \n As a subscriber to the CBP Talent Network, you'll receive monthly emails with information about webinars, career expos, and future opportunities with CBP.

AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

As an Insurance Agent, you’ll play a key role in expanding our reach by: \n\n • Cultivating and closing new sales opportunities\n, • Generating warm leads through credit union partnerships\n, • Building long-term relationships with clients and referral sources\n, • Driving growth with your talent, grit, and winning attitude\n\n \n This role includes travel to credit union partners across the five boroughs — no cold calling needed. Just you, your charisma, and a hot pipeline of prospects waiting for your expert guidance. \n \n What’s In It For You? \n We’re not shy about rewarding excellence — and we invest in your growth. \n Here’s what you’ll get: \n\n • Pay: $50,000-$120,000 per year plus uncapped commissions!\n, • Exotic Award Trips — Because your success deserves a first-class celebration\n, • Paid Training — We set you up to succeed\n, • Paid Time Off & Holidays — Balance is key\n, • Full Benefits Package — Health, dental, vision & more\n, • Career Advancement Opportunities — Grow fast with a company that’s scaling\n\n \n We’re Looking for Sales Rockstars Who Are... \n\n • Ambitious & Goal-Oriented – You love a challenge and hate to lose\n, • Resilient & Positive – You bounce back and bring the energy\n, • Tech-Savvy & Organized – You work smarter, not harder\n, • People-Centric – You know how to listen, connect, and close\n, • Coachable & Hungry – You take feedback and run with it\n\n \n Your Day-to-Day Will Include: \n\n • Engaging credit union members and offering tailored insurance solutions\n, • Building and nurturing strong business relationships\n, • Generating referrals and closing deals\n, • Maintaining licensure and completing ongoing training\n, • Collaborating with internal teams and credit union partners\n, • Crushing goals and celebrating wins — every single week\n\n \n Must-Haves: \n\n • Proven success in sales\n, • Insurance experience or licensing (or willingness to get licensed)\n, • Excellent communicator (written + verbal)\n, • Reliable transportation and flexible travel within NYC\n, • Self-starter mindset with strong time management\n\n \n Ready to Make Your Mark? \n If you're passionate about helping others, love the thrill of a sale, and want to join a team that values your talent and celebrates your success — apply now.

AI Engineer 5 (FM Hosting, LLM Inference)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Vision model (VLM) customization experience)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Life Insurance Sales Agent – Earn up to $2,500+ a week with Exclusive Leads! Contractor Dental, Medical $60,000 to $100,000 a year Earn what you’re worth and get paid in 24 hrs. No cold calling! We can help you get licensed. Are you a motivated and goal-oriented individual looking to make more money than your current job provides? We have the perfect opportunity for you! Weekly Pay: Up to $2,500 – Commission Only Position: Life Insurance Sales Company: Lincoln Heritage Life Insurance Company® Who We Are: Lincoln Heritage is the largest final expense life insurance company in the U.S. and continues to grow at a record pace. We are looking for sales agents who want to grow with us. For over 60 years, Lincoln Heritage has remained a company by and for sales agents; dedicated to ensuring success through training, unrivaled support, innovation, and financial opportunities –– all thanks to our exclusive sales program. Why Choose Us: • Competitive Compensation: We offer an unlimited commission structure that pays you within 24 hours. Along with performance-based incentives, you’ll reap the rewards of your hard work year after year with renewal income!, • Exclusive Sales Program: Our easy-to-sell program has been key to the success of our agents; we offer the market a truly unique insurance program. Best of all, there is absolutely NO COLD CALLING or book building – we provide all the branded leads you can work., • Comprehensive Training: No prior experience? No problem! Our local hiring manager provides thorough training that covers all aspects of insurance and working leads, ensuring you're equipped with the knowledge and skills needed to excel., • Career Growth: We believe in nurturing talent from within. As you gain expertise, you'll have ample opportunities for career advancement and the chance to make more money., • Supportive Environment: Join a team that values collaboration and encourages open communication. We’re here to guide and mentor you every step of the way., • Incredible Benefits: Health & Dental benefits for qualifying agents, exotic trip incentive destinations, exciting sales contests, and more! Key Responsibilities: • Learn and understand our easy-to-sell life insurance program., • Assist clients in selecting an insurance plan that best suits their needs., • Build and maintain lasting relationships with clients., • Collaborate with team members to achieve team targets and individual goals. Qualifications: • High school diploma or equivalent; additional certifications are a plus., • Strong interpersonal skills and the ability to communicate effectively., • Enthusiastic about learning and adapting to new challenges., • Goal-driven and able to thrive in a fast-paced environment., • A positive attitude and a desire to deliver exceptional customer service., • Willingness to obtain a life insurance license – we will help! If you're ready to launch your career selling insurance and are committed to providing top-notch service to clients, this is the place to be! Schedule your interview now!

Job Description Job Title: Chef de Cuisine Reports To: Executive Chef Direct Reports: Executive Sous and Sous Chefs Roberta’s is hiring experienced chefs who are looking to work with a small, dynamic, dedicated team. If you enjoy working with amazing products, minimal intervention wines, and an aspirational, often changing menu this is the place for you. We put in the work to butcher our own meat, hand stretch our cheese, bake our own bread, and make sure the meals we provide to our guests are a labor of love. This leader must excel at working in a collaborative environment and enjoy time spent working with and coaching the culinary team. No bad vibes ! QUALIFICATIONS: Thrives while guiding multiple tasks simultaneously Strong leadership skills and a natural team builder A vocal agent for change 3+ years of kitchen management experience in aspirational restaurants Adept at positively impacting prime costs Tech savvy Food Handler’s certificate that meets local requirements Exceptional eye for detail A genuine talent scout, we are in the people business .DUTIES & RESPONSIBILITIES: Flexibility to work any station in the restaurant & takeout (prep, expo, colds, pasta, grill, deck, slapping, oven and new stations as they are created) Set the standards for safe work habits and DOH compliance, including but not limited to preparing the kitchen staff for a DOH inspection and managing the staff during inspection Ability to do staff schedule, payroll and other administrative tasks as required Menu/recipe development in conjunction with chef/owner and Executive Chef for existing restaurants and new openings Help meet company objectives in sales, standards, quality, appearance of facility and sanitation and cleanliness through training of employees and creating a positive, productive working environment. Maintain clear and consistent communication to the team Develop both hourly and management staff in all areas of managerial and professional development Manage labor to cover the needs of business while meeting labor targets Serve as a mentor to newer members of the leadership team

Job Description Job Title: Chef de Cuisine Reports To: Executive Chef Direct Reports: Executive Sous and Sous Chefs Roberta’s is hiring experienced chefs who are looking to work with a small, dynamic, dedicated team. If you enjoy working with amazing products, minimal intervention wines, and an aspirational, often changing menu this is the place for you. We put in the work to butcher our own meat, hand stretch our cheese, bake our own bread, and make sure the meals we provide to our guests are a labor of love. This leader must excel at working in a collaborative environment and enjoy time spent working with and coaching the culinary team. No bad vibes ! QUALIFICATIONS: Thrives while guiding multiple tasks simultaneously Strong leadership skills and a natural team builder A vocal agent for change 3+ years of kitchen management experience in aspirational restaurants Adept at positively impacting prime costs Tech savvy Food Handler’s certificate that meets local requirements Exceptional eye for detail A genuine talent scout, we are in the people business .DUTIES & RESPONSIBILITIES: Flexibility to work any station in the restaurant & takeout (prep, expo, colds, pasta, grill, deck, slapping, oven and new stations as they are created) Set the standards for safe work habits and DOH compliance, including but not limited to preparing the kitchen staff for a DOH inspection and managing the staff during inspection Ability to do staff schedule, payroll and other administrative tasks as required Menu/recipe development in conjunction with chef/owner and Executive Chef for existing restaurants and new openings Help meet company objectives in sales, standards, quality, appearance of facility and sanitation and cleanliness through training of employees and creating a positive, productive working environment. Maintain clear and consistent communication to the team Develop both hourly and management staff in all areas of managerial and professional development Manage labor to cover the needs of business while meeting labor targets Serve as a mentor to newer members of the leadership team

Job Description Job Title: Chef de Cuisine Reports To: Executive Chef Direct Reports: Executive Sous and Sous Chefs Roberta’s is hiring experienced chefs who are looking to work with a small, dynamic, dedicated team. If you enjoy working with amazing products, minimal intervention wines, and an aspirational, often changing menu this is the place for you. We put in the work to butcher our own meat, hand stretch our cheese, bake our own bread, and make sure the meals we provide to our guests are a labor of love. This leader must excel at working in a collaborative environment and enjoy time spent working with and coaching the culinary team. No bad vibes ! QUALIFICATIONS: Thrives while guiding multiple tasks simultaneously Strong leadership skills and a natural team builder A vocal agent for change 3+ years of kitchen management experience in aspirational restaurants Adept at positively impacting prime costs Tech savvy Food Handler’s certificate that meets local requirements Exceptional eye for detail A genuine talent scout, we are in the people business .DUTIES & RESPONSIBILITIES: Flexibility to work any station in the restaurant & takeout (prep, expo, colds, pasta, grill, deck, slapping, oven and new stations as they are created) Set the standards for safe work habits and DOH compliance, including but not limited to preparing the kitchen staff for a DOH inspection and managing the staff during inspection Ability to do staff schedule, payroll and other administrative tasks as required Menu/recipe development in conjunction with chef/owner and Executive Chef for existing restaurants and new openings Help meet company objectives in sales, standards, quality, appearance of facility and sanitation and cleanliness through training of employees and creating a positive, productive working environment. Maintain clear and consistent communication to the team Develop both hourly and management staff in all areas of managerial and professional development Manage labor to cover the needs of business while meeting labor targets Serve as a mentor to newer members of the leadership team

AI Engineer 5 ((AI Foundations, LLM Core and Agentic AI)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems\n, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency\n, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards\n, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies\n, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting complex AI systems\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines\n, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes\n, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression\n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Title: Senior Python Developer Location: Rutherford, NJ (3 days onsite in a week) Duration: 8 months Pay Range: $80-$90/hr. on W2 Job Description: Seeking an experienced Senior Python Developer to build scalable, data-driven applications and AI-powered solutions, including GenAI, LLMs, and RAG-based systems. The role involves developing high-performance services, optimizing databases, and collaborating with cross-functional teams to deliver production-ready solutions. Key Responsibilities: Develop scalable Python applications, APIs, and asynchronous workflows. Design and optimize data models, databases, and vector search solutions. Build and integrate AI/ML, LLM, GenAI, and RAG-based solutions. Implement AI frameworks, multi-agent workflows, and model fine-tuning. Deploy, monitor, and optimize production services. Collaborate with product, architecture, and engineering teams. Required Skills: Strong Python programming, FastAPI, and asynchronous programming. Experience with LLMs such as OpenAI, Gemini, Claude, or Llama. Knowledge of PyTorch, TensorFlow, LangChain, LlamaIndex, or Hugging Face. Experience with RAG, PostgreSQL, vector databases, and advanced retrieval. Knowledge of prompt engineering, AI workflow orchestration, Docker, and production API deployment. Please share with me your updated resume if you are interested in applying for this role. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit _ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Financial Professional Build a career that’s designed to last. For over 180 years, New York Life has helped individuals, families, and businesses navigate life’s financial decisions through changing markets and generations. As a Financial Professional*, you’ll play a direct role in helping people protect what matters and plan for their future, while building a practice of your own with the backing of a Fortune 100 company. What You’ll Do • Develop your own client base through networking, referrals, and community involvement, • Build relationships and guide clients through key financial decisions (retirement, protection, education planning), • Offer tailored solutions across insurance and financial products, • Grow your knowledge and skills through ongoing training and real-world experience What Sets This Role Apart • Be Your Own Boss: After two years of training, our agents become independent career agents and run their own businesses., • Training & Support: Structured onboarding, licensing support, ongoing coaching and opportunities to obtain professional credentials, with prepaid tuition for eligible, participating agents pursuing approved credentials., • Financial Support: Training subsidy available for eligible candidates during early stages, • Resources & Tools: Access to experienced professionals and institutional knowledge, proven best practices, along with sales, prospecting, and marketing tools to help you attract and retain clients through web, social, and email content., • Products & Solutions: New York Life and its subsidiaries offer a broad range of solutions, including life insurance, annuities, long-term care insurance, disability income insurance, and investment products such as mutual funds¹ through NYLIFE Securities LLC (member FINRA and SIPC), a Licensed Insurance Agency. This range allows you to develop tailored strategies to help clients and their families achieve their financial goals., • Career Path Flexibility: As you grow, you can specialize in areas such as wealth management, estate planning, and business solutions—or pursue leadership opportunities. You may also choose to become a financial advisor with Eagle Strategies LLC, our registered investment advisor, and offer advisory services². What We Look For • Self-motivated individuals who take initiative, • Strong communicators who enjoy building relationships, • Coachable and open to feedback, • Interested in long-term learning and growth, not just a short-term role Compensation & Benefits • You have the power to determine your own income with our commission-based compensation³, • In 2024, the average income of our financial professionals under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $120,555⁴. Individual agent performance will determine your income., • Benefits for eligible full-time agents include medical, dental, life and long-term disability coverages, 401(k), and pension⁵ For more information about commission-based income and benefits for financial professionals, please follow this link: _ Take the Next Step If you’re looking for a career where your work has real impact—and your growth is in your hands—supported by a company with a long history and a strong future, let’s start a conversation. About New York Life New York Life is a Fortune 100 company with a long history of doing good. We have been in business for 180+ years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. We’re proud to be recognized by the following organizations⁶: • Fortune (2026): World’s Most Admired Companies, • Handshake (2026): Early Talent Award, • Seramount (2025): 100 Best Companies for Workplace Programs The results we’ve delivered for our clients⁷ include: • 5 million policyowners protected, • $1 billion in lifetime annuity income paid, • $7.8 billion in living benefits awarded (dividends not guaranteed), • $1.2 trillion in life insurance protection in force⁸, • #1 largest mutual insurer in the U.S.⁹ *The terms “agent” and “financial professional” are used interchangeably and refer to someone who is in a sales role under an agent contract. 1. Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life subsidiary., 2. Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change., 3. If you qualify for an Introductory (PTAS) Contract, you will preview an agent career with New York Life as an independent contractor while continuing to work at your current job, with limited exceptions. PTAS Agents are not eligible for benefits. During this preview period of up to six months, any sales you make will continue to accrue until you either make enough sales to become a full-time agent under a Training Allowance Subsidy (TAS) Contract or the passage of six months, whichever is earlier. If you do not become a full-time agent, first year commissions on any sales you made will be paid to you in a lump sum at the end of your PTAS contract period. If you become a full-time agent under a TAS Contract, you will be credited with the commissions you accrued under the Introductory Contract., 4. Based on 2024 company data for 8,136 agents operating under our N9 and N8 Agents Contracts, without persistency bonus, who were active as of December 31, 2024. N9 contracts were issued to new financial professionals from April 2004 through February 2026. N8 contracts were issued to new financial professionals prior to April 2004. N10 is the current contract for new financial professionals beginning March 2026. Contracts determine your compensation and benefits. New York Life reserves the right to amend agent contracts, in whole or in part, at any time. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Not all debits are included in the average income figures above. Each credit and debit posted to the Agent's Ledger is part of determining the agent's compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent's Ledger after the credits and debits are applied, except that Agents operating under an Introductory (PTAS) Contract who fail to sell enough to trigger a full-time agent’s contract will be paid first year commissions on any sales made in a lump sum at the end of their PTAS Contract period., 5. This is necessarily brief and provides only general descriptions of the benefits available to eligible Agents under the applicable plans. Eligibility requirements and plan provisions vary by contract type and production levels. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The Company reserves the right to amend or terminate the benefit plans described herein at any time and for any reason., 6. A full list of our awards is available here: _., 7. Figures reflect the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries including New York Life Insurance and Annuity Corporation (NYLIAC) for the 12 months ending December 31, 2025., 8. Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,264.5 billion at December 31, 2025 (including $193.7 billion for NYLIAC). Dividends are payments made to eligible policy owners from divisible surplus. Divisible surplus is the portion of the company’s total surplus that is available, following each year’s operations, for distribution in the form of dividends. Dividends are not guaranteed. Intercompany transactions have been eliminated in consolidation., 9. Based on revenue as reported by Fortune magazine June/July 2025 (New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity) New York Life accepts applications for the Financial Professional position on an ongoing basis. Qualified candidates are encouraged to apply SMRU 8914120 (Exp.04/30/2027)

About Cymphony Cymphony is a well-funded cybersecurity startup backed by Sequoia and Fin Capital, building a new category: workforce security. Once companies connect AI to tools like SharePoint, Box and the CRM, years of oversharing become real exposure. Cymphony maps every person and AI agent to the data and access behind them, shows which risks matter, and makes fixing them simple. The result is a clear green light to roll out AI safely. Global enterprises including KKR, Syngenta and Cass rely on Cymphony to adopt AI safely. About the role We are hiring our first Talent Acquisition & Operations Lead to help build the team, and the company around it, in New York. This is a role for someone with a few years of tech recruiting under their belt who is ready to own the function, not just support it. You will work directly with our leadership, and you will grow as fast as the company does. What you’ll do Talent Acquisition (~70%) • Own the full recruiting cycle, from intake and sourcing to offer and close, • Partner with founders and hiring managers to define roles, scorecards and interview loops, • Source proactively and build pipelines for hard-to-fill roles, not just post and wait, • Manage relationships with external recruiters and agencies, and know when to use them, • Run a candidate experience that reflects how we want to be seen in the market, • Set up and own our recruiting tools, process and reporting, • Build onboarding so new hires are productive from week one Operations (~30%) • Run our SoHo office: vendors, supplies, facilities, and making it a place people want to show up to, • Support the GTM team with logistics for events, customer meetings, offsites and travel, • Own internal processes that keep a fast-growing team organized, • Pick up whatever falls between the cracks, and then make sure it stops falling there What we’re looking for • 3-5 years of recruiting experience, in-house or agency, with startup experience a strong plus, • Experience running hiring processes end to end, or a clear readiness to take that on, • Hands-on sourcing experience and comfort reaching out to candidates cold, • Some exposure to office management, vendor management or business operations, • Highly organized, able to juggle many open loops without dropping any, • Comfortable operating in ambiguity with very little structure, • High ownership mentality and a bias to action, • Strong communicator who builds trust quickly with candidates and teammates, • Hungry to learn and grow into a senior talent role, • Interest in cybersecurity or B2B SaaS is a big advantage, • Experience working with cross-border teams across the US and Israel is a plus Why join • First TA and ops hire in the US, with a clear path to grow into leading the talent function, • Direct mentorship and partnership with leadership, • High ownership and autonomy from day one, • A team that works hard, moves fast, and actually enjoys doing it together, in person, • Compensation range: $90,000 - $135,000 base + equity

Talent Coordinator (Agent Track) — Vertical Talent Group New York City · Full-Time · In-Person, Midtown Office About Vertical Vertical Talent Group represents leading digital creators in food and pets. We help build their businesses through brand partnerships, strategic relationships, and long-term career development. We’re growing quickly and hiring our next cohort of coordinators to develop into agents. You’ll work directly with our team on active partnerships, learn the business of representation, and build relationships of your own. The opportunity Our business is built on relationships. We invest time in getting to know the people buying creator partnerships: brand marketers, agency teams, and decision-makers across our categories. Coffee meetings, introductory calls, and consistent follow-through are central to how we create opportunities for our talent. You’ll learn how to build that network, understand what buyers need, and turn those relationships into business for creators. The path to becoming an agent starts with mastering coordination: clear communication, organized campaigns, sound judgment, and reliable execution. As you demonstrate those skills, you’ll take on more responsibility across relationships, negotiations, and talent representation, with the goal of managing your own book of business. What you’ll do • Support agents in managing creator relationships and brand partnerships, from initial inquiry through execution and payment., • Keep campaigns moving: track deadlines, communicate next steps, and follow up before someone needs to ask., • Research brands, agencies, and the people making partnership decisions., • Help initiate outreach, arrange introductory calls and coffee meetings, and build lasting buyer relationships., • Join partner conversations, learn their priorities, and identify opportunities across our roster., • Scout creators in food and pets and help evaluate their potential., • Attend relevant meetings, shoots, and industry events., • Help improve the systems and processes supporting our growth. Who you are • You communicate clearly. You write concise emails, ask thoughtful questions, and make it easy for others to understand what needs to happen next. You know when to pick up the phone., • You enjoy building relationships. You’re curious about people and their work. You’re comfortable introducing yourself, starting conversations, and staying in touch with purpose., • You follow through. You keep track of details, close loops, and flag problems early. People can trust you to do what you say you’ll do., • You take initiative and want to learn. You seek feedback, apply it, and take increasing ownership as your judgment develops., • You care about the category. You follow food or pet creators and have opinions about what makes their content compelling and their partnerships effective. Experience in talent representation, agencies, brand partnerships, sales, or client service is helpful, but not required. Compensation and growth • $60,000–$75,000 base salary, depending on relevant experience and qualifications., • Annual bonus., • Healthcare coverage., • A path into talent representation, with opportunities for commission participation as responsibilities grow. To apply Send your resume to info@verticaltalent.co with a short note explaining your interest in food or pets and why you want to build a career in talent representation.

About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry: which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision. We help them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally. We are already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do, from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure. It's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company built to endure. If that sounds like you, join us in building what comes next. About the team Field Engineering at hx is the team that turns ambition into production reality. We sit at the intersection of deep technical delivery, customer transformation, and agentic AI, operating across the most complex pricing and underwriting challenges in the world. In the Americas, we are scaling fast, and this role is the tip of the spear: the person who will define what elite agentic field delivery looks like in the US market and build the team that executes it. This is not a management layer removed from the work. The team operates with craft at its core, building harnesses, agents, and workflows that don't just close deals but become the foundation for product capabilities used by every customer that follows. We collaborate tightly with AI R&D, Product, and Sales, and we hold ourselves accountable to metrics that matter: GWP throughput, ARR per head, time to live, and bootcamp conversion. The US Head of Agentic Field Engineering will own the full arc of the Americas technical delivery motion, from the first conversation with a underwriting leaders to live premium on the platform. This is a rare opportunity to build a function from an early stage, set the bar for what great looks like, and compound your impact across customers, product, and the people you develop. Check out our _ for a behind the scenes look at the team you would be joining! What you'll be doing • Lead the full Americas technical delivery motion end to end, personally driving bootcamps on major pursuits alongside Agent Builders, with a target of zero deals lost on technical or delivery-confidence grounds from Q3 onwards., • Quadruple GWP flowing through the platform year on year by expanding existing accounts and landing new logos, while reducing the average time to bring a new line of business live by 50% within 12 months., • Build and operate an agentic OS that systematically upskills a team of agents alongside your Agent Builders, compounding delivery productivity and reducing time to productivity for new joiners, • Land a minimum of 3 field-built capabilities into the core product by month 6 through a structured field-to-product feedback cadence operating with the Product leadership team from within 90 days of joining., • Double ARR per head year on year, measured on average ramped FTE inclusive of contractor, partner, and offshore effort, • Grow the Americas team and maintain an attrition rate below 20%, • Putting a development plan in place for every player-coach What you'll need to have done • Built agentic AI systems personally and recently, with the ability to walk through the harness architecture, toolchain, and quality validation approach you used, not just an opinion on AI but hands-on delivery., • Grown through engineering into leadership while keeping your hands in the work, whether through active side projects or a demonstrable return to building enabled by agentic AI., • Created internal tooling, harnesses, or workflows that made a team measurably faster, not just optimized delivery for clients but genuinely improved how the people doing the delivering operate., • Tackled the hard 80% of a problem when the easy 20% would have shipped sooner and demoed better, and can speak concretely to what that choice cost and why it was the right call., • Operated in enterprise go-to-market environments with long cycles, multiple buying centers, and implementations measured in quarters, holding a technical room and moving a commercial outcome in the same conversation., • Managed a leadership team of player-coaches, with a genuine track record of making those people better rather than simply directing them, and demonstrated speed of technical assimilation in a new domain under real customer pressure. Compensation $250,000 - $300,000 Benefits • $6,000 training and conference budget for individual and group development., • Full medical, dental, and vision package to fit your needs., • Mental health support via Spring Health and Rula., • Access to One Medical., • Flexible vacation policy - take time when you need it., • Pet discount plans, retirement plan (401K), and discount programs available to employees. Additional perks • Top-spec equipment (laptop, screens, adjustable desks, etc.)., • Regular remote and in-person hackathons, lunch and learns, socials, and game nights., • Team breakfasts and lunches, snacks, drinks fridge, and a fun office at our _., • Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process • Talent Partner Screen, • Hiring Manager Interview, • Skills Assessment, • Values Interview, • Meet the CEO & Co-Founder, • We offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do; it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

Director of AI Engineering Location: New York, NY; Hybrid (Candidates MUST be local - No relocation) Compensation: $200-250K + bonus US Citizens/GC Holders Only; No Visa Sponsorship Responsibilities • Drive architecture, safety boundaries, and technical direction for production-grade agentic AI systems and enterprise-wide capabilities, • Own agent frameworks, orchestration (LangGraph, CrewAI), RAG pipelines, model gateways, and evaluation/observability tooling for autonomous systems, • Evaluate emerging AI techniques, lead complex cross-cutting initiatives, and balance tradeoffs among safety, reliability, scale, and cost, • Lead, recruit, and mentor senior engineers; handle HR processes (performance reviews, talent development); and foster a culture of technical excellence Technology • Stack: Python, Go, TypeScript | REST, gRPC | AWS/GCP, Kubernetes, Kafka, Airflow, • Agentic AI & ML: LangChain, LlamaIndex, Semantic Kernel, CrewAI, PyTorch, Hugging Face (fine-tuning, embeddings, inference), Pydantic, Zod Qualifications Required • 10+ years engineering large-scale distributed backend systems, with deep experience in LLMs, agentic workflows, and ML infrastructure, • Track record leading/growing teams, mentoring senior talent, managing full SDLCs, and influencing across cross-functional boundaries, • Advanced knowledge of planning, tool use, memory, streaming/async architectures, and AI-assisted development tools, • Ability to drive clarity in ambiguous spaces and ship production-grade autonomous systems. Preferred • Experience in fintech or regulated industries; background as an early technical leader/founding engineer in AI, • Track record of building widely used autonomous systems or contributing to open-source AI frameworks, • Hands-on experience with model fine-tuning, inference optimization, and modern application stacks (React, Mobile, CI/CD)

52 Limited is partnering with an innovative, venture-backed hospitality technology startup to find a Full Stack Engineer to join its growing team in Williamsburg, Brooklyn. Our client is building an AI-native software platform that helps independent hotels, resorts, and boutique properties grow revenue, streamline operations, and deliver exceptional guest experiences. Backed by leading venture capital investors and founded by experienced entrepreneurs, the company is bringing modern technology and digital marketing capabilities to an underserved segment of the hospitality industry. We're hiring a full-stack engineer to join the founding engineering team. We lean heavily on AI tools to ship a lot of product, fast, and we have a substantial roadmap ahead of us. You'll work directly with the founders, own products and systems end to end, from ambiguous problem to shipped, reliable feature, and depending on the candidate, this role can evolve into an engineering leadership role quickly. What you'll do: • Ship across the full codebase: backend, frontend, integrations, and AI systems, • Architect and scale the platform as we expand into the full hotel operating system, • Help set the standards for reliability, security, observability, and engineering quality Our Tech Stack: • TypeScript across the entire stack, • Backend: NestJS with PostgreSQL and TypeORM, • Frontend: React and Next.js with Tailwind CSS, • AI: Anthropic and OpenAI models via the Vercel AI SDK, voice with ElevenLabs, agentic workflows in production, • Infra: AWS and Vercel, Stripe for billing You don't need experience with every item on this list. Strong TypeScript and modern web fundamentals matter most; the rest can be learned here. Experience: • Bachelor's in Computer Science, or an equivalent rigorous CS background, • 2–4 years building and owning full-stack web apps end to end, • Prior startup or founding engineer experience is a strong plus Who You Are • Fluent in modern product engineering. You have built and operated production software using contemporary web, cloud, and data technologies. You learn unfamiliar systems quickly, stay current with the evolving technology landscape, and make pragmatic decisions about when to adopt, replace, or simplify tools., • AI-native in how you build. You are highly effective with AI-assisted and agentic development tools and know how to use them to improve engineering speed, quality, and leverage, not simply generate more code. You can establish thoughtful practices around context management, testing, code review, security, documentation, evaluation, and human oversight., • Comfortable at the earliest stages. You operate well with ambiguity, move quickly, and know when to introduce structure without slowing the team down., • An owner. You take a business problem and run with it, delivering high-quality solutions without micromanagement or granular requirements. Scrappy, resourceful, and proactive., • A strong communicator. You can articulate technical decisions and tradeoffs to non-technical stakeholders, in writing and in person. AI Systems Experience We're looking for someone who understands that production AI systems require more than model access and prompt engineering. Strong candidates will have experience with several of the following: • Building and evaluating LLM-powered agents and workflows, • Agent orchestration, tool use, retrieval, and context management, • Human-in-the-loop systems, permissions, guardrails, and failure recovery, • Observability, debugging, testing, and versioning for AI systems, • Managing the cost, latency, and reliability of nondeterministic systems, • Measuring the product and business impact of AI-powered workflows Nice To Have • Shipping AI-native products in real production environments, • Fast-growing startup experience: ship-fast culture, low bug tolerance, high ownership, • Vertical SaaS, marketplace, or workflow software experience, • Complex integrations and data-heavy systems, • Hospitality, travel, or adjacent industry experience What We Offer • Founding team role — a key part of the technical team, with a front-row seat to how a top venture-backed, AI-native vertical SaaS company gets built, • Meaningful equity and a competitive salary, • Top-tier health coverage — medical, dental, and vision insurance, • Room to grow — leadership opportunities as you build skills and experience, • Autonomy and direct impact — technical ownership of the entire codebase and real influence on product direction and architecture, • Company perks — lunch and fitness stipends, complimentary snacks, and weekly happy hours Location & Requirements: This is a full-time, onsite opportunity based in Williamsburg, Brooklyn, with an expectation of working in the office 4–5 days per week. Candidates must be authorized to work in the United States. About 52 Limited: 52 Limited is a creative and technology staffing agency connecting exceptional talent with innovative companies nationwide. We specialize in opportunities across design, technology, marketing, and creative disciplines.

Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities • Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps., • Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search., • Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies., • Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms., • Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures., • Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources., • Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management., • Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance., • Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs., • Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production., • Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes., • Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: prasanna.bommu@asciigroup.com Phone: +1 313-435-0820/(248) 476-7600 Ext 112

Financial Professional Build a career that’s designed to last! For over 180 years, New York Life has helped individuals, families, and businesses navigate life’s financial decisions through changing markets and generations. As a Financial Professional*, you’ll play a direct role in helping people protect what matters and plan for their future, while building a practice of your own with the backing of a Fortune 100 company. What You’ll Do • Develop your own client base through networking, referrals, and community involvement, • Build relationships and guide clients through key financial decisions (retirement, protection, education planning), • Offer tailored solutions across insurance and financial products, • Grow your knowledge and skills through ongoing training and real-world experience What Sets This Role Apart • Be Your Own Boss: After two years of training, our agents become independent career agents and run their own businesses., • Training & Support: Structured onboarding, licensing support, ongoing coaching and opportunities to obtain professional credentials, with prepaid tuition for eligible, participating agents pursuing approved credentials., • Financial Support: Training subsidy available for eligible candidates during early stages, • Resources & Tools: Access to experienced professionals and institutional knowledge, proven best practices, along with sales, prospecting, and marketing tools to help you attract and retain clients through web, social, and email content., • Products & Solutions: New York Life and its subsidiaries offer a broad range of solutions, including life insurance, annuities, long-term care insurance, disability income insurance, and investment products such as mutual funds¹ through NYLIFE Securities LLC (member FINRA and SIPC), a Licensed Insurance Agency. This range allows you to develop tailored strategies to help clients and their families achieve their financial goals., • Career Path Flexibility: As you grow, you can specialize in areas such as wealth management, estate planning, and business solutions—or pursue leadership opportunities. You may also choose to become a financial advisor with Eagle Strategies LLC, our registered investment advisor, and offer advisory services². What We Look For • Self-motivated individuals who take initiative, • Strong communicators who enjoy building relationships, • Coachable and open to feedback, • Interested in long-term learning and growth, not just a short-term role Compensation & Benefits • You have the power to determine your own income with our commission-based compensation³, • In 2024, the average income of our financial professionals under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $120,555⁴. Individual agent performance will determine your income., • Benefits for eligible full-time agents include medical, dental, life and long-term disability coverages, 401(k), and pension⁵ For more information about commission-based income and benefits for financial professionals, please follow this link: _ Take the Next Step If you’re looking for a career where your work has real impact—and your growth is in your hands— supported by a company with a long history and a strong future, let’s start a conversation. About New York Life New York Life is a Fortune 100 company with a long history of doing good. We have been in business for 180+ years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. We’re proud to be recognized by the following organizations⁶: • Fortune (2026): World’s Most Admired Companies, • Handshake (2026): Early Talent Award, • Seramount (2025): 100 Best Companies for Workplace Programs The results we’ve delivered for our clients⁷ include: • 5 million policyowners protected, • $1 billion in lifetime annuity income paid, • $7.8 billion in living benefits awarded (dividends not guaranteed), • $1.2 trillion in life insurance protection in force⁸, • #1 largest mutual insurer in the U.S.⁹ *The terms “agent” and “financial professional” are used interchangeably and refer to someone who is in a sales role under an agent contract. 1. Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life subsidiary., 2. Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change., 3. If you qualify for an Introductory (PTAS) Contract, you will preview an agent career with New York Life as an independent contractor while continuing to work at your current job, with limited exceptions. PTAS Agents are not eligible for benefits. During this preview period of up to six months, any sales you make will continue to accrue until you either make enough sales to become a full-time agent under a Training Allowance Subsidy (TAS) Contract or the passage of six months, whichever is earlier. If you do not become a full-time agent, first year commissions on any sales you made will be paid to you in a lump sum at the end of your PTAS contract period. If you become a full-time agent under a TAS Contract, you will be credited with the commissions you accrued under the Introductory Contract., 4. Based on 2024 company data for 8,136 agents operating under our N9 and N8 Agents Contracts, without persistency bonus, who were active as of December 31, 2024. N9 contracts were issued to new financial professionals from April 2004 through February 2026. N8 contracts were issued to new financial professionals prior to April 2004. N10 is the current contract for new financial professionals beginning March 2026. Contracts determine your compensation and benefits. New York Life reserves the right to amend agent contracts, in whole or in part, at any time. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Not all debits are included in the average income figures above. Each credit and debit posted to the Agent's Ledger is part of determining the agent's compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent's Ledger after the credits and debits are applied, except that Agents operating under an Introductory (PTAS) Contract who fail to sell enough to trigger a full-time agent’s contract will be paid first year commissions on any sales made in a lump sum at the end of their PTAS Contract period., 5. This is necessarily brief and provides only general descriptions of the benefits available to eligible Agents under the applicable plans. Eligibility requirements and plan provisions vary by contract type and production levels. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The Company reserves the right to amend or terminate the benefit plans described herein at any time and for any reason., 6. A full list of our awards is available here: https://www.newyorklife.com/newsroom/our-awards-and recognition., 7. Figures reflect the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries including New York Life Insurance and Annuity Corporation (NYLIAC) for the 12 months ending December 31, 2025., 8. Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,264.5 billion at December 31, 2025 (including $193.7 billion for NYLIAC). Dividends are payments made to eligible policy owners from divisible surplus. Divisible surplus is the portion of the company’s total surplus that is available, following each year’s operations, for distribution in the form of dividends. Dividends are not guaranteed. Intercompany transactions have been eliminated in consolidation., 9. Based on revenue as reported by Fortune magazine June/July 2025 (New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity) New York Life accepts applications for the Financial Professional position on an ongoing basis. Qualified candidates are encouraged to apply SMRU 8914120 (Exp.04/30/2027)

Experienced Financial Professional Take your career further with the backing of a Fortune 100 industry leader. At New York Life, you build your business on a foundation of strength, stability, and a legacy of financial leadership. As the largest mutual life insurance company in the United States¹—with top financial strength ratings² and a long-standing presence in MDRT³—we provide the resources, brand credibility, and flexibility to grow on your terms. Whether you’re an established financial professional⁎ seeking more independence or exploring your next chapter, New York Life offers a new path forward. Here, you can transition your expertise into a business you own, supported by a company invested in your long-term success. You’ll benefit from: • A highly respected brand that opens doors and builds client trust, • Financial strength and stability that support long-term client relationships, • Access to a broad portfolio of solutions to meet diverse client needs, • Ongoing training, development, and a collaborative support network At New York Life, you can redefine your career with purpose, ownership, and the strength of a company built to last. What You’ll Do • Develop and expand your own book of business through new client acquisition, • Build relationships and guide clients through key financial decisions (retirement, protection, education planning), • Offer tailored solutions across insurance and financial products, • Grow your knowledge and skills through specialized training and professional development What Sets This Role Apart • Training & Development: Structured onboarding, licensing support, and ongoing coaching, plus reimbursement opportunities for professional designations through The American College., • Tools to Grow Your Business: Proven sales, prospecting, and marketing resources to help you attract, engage, and retain clients., • Comprehensive Solutions: A full suite of offerings—including life insurance, annuities, long-term care, disability income insurance, and investment products such as mutual funds⁴ through NYLIFE Securities LLC (Member FINRA/SIPC)—to meet diverse client needs., • Flexible Career Path: Specialize in key areas, pursue leadership, or expand into advisory services with Eagle Strategies LLC.⁵, • Autonomy: Work from a New York Life office or an independent location and build your brand under New York Life or your own DBA. Growth & Specialization: Build expertise through structured learning paths in areas such as retirement planning,⁶ wealth advisory,⁷ estate planning, and business solutions. • Advanced Case Support: Access specialized guidance for complex and high-net-worth planning strategies., • Performance Rewards: Competitive, performance-based incentives and recognition opportunities. Peer Network: Collaborate through mentorship programs, study groups, and a strong community of experienced professionals. Compensation & Benefits • You have the power to determine your own income with our commission-based compensation, • In 2024, the average income of our financial professionals under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $120,555.⁸ Individual agent performance will determine your income., • Benefits for eligible full-time agents include medical, dental, life and long-term disability coverages, 401(k), and pension.⁹ For more information about commission-based income and benefits for financial professionals, please follow this link: _ Take the Next Step If you’re looking for a career where your work has real impact—and your growth is in your hands—supported by a company with a long history and a strong future, let’s start a conversation. About New York Life New York Life is a Fortune 100 company with a long history of doing good. We have been in business for 180+ years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. We’re proud to be recognized by the following organizations:¹⁰ • Fortune (2026): World’s Most Admired Companies, • Handshake (2026): Early Talent Award, • Seramount (2025): 100 Best Companies for Workplace Programs The results we’ve delivered for our clients¹¹ include: • 5 million policyowners protected, • $1 billion in lifetime annuity income paid, • $7.8 billion in living benefits awarded (dividends not guaranteed), • $1.2 trillion in life insurance protection in force¹², • #1 largest mutual insurer in the U.S.¹³ *The terms “agent” and “financial professional” are used interchangeably and refer to someone who is in a sales role under an agent contract. ¹Based on revenue as reported by Fortune magazine June/July 2025 ²Source: Individual Third-Party Rating Reports (as of 6/19/2025). The financial strength ratings do not apply to any investment products as they are subject to market risks and fluctuate in value. ³MDRT, 2025. _, The Premier Association of Financial Professionals®, is recognized globally as the standard of excellence for life insurance sales performance in the insurance and financial services industry. ⁴Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life subsidiary. ⁵Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. ⁶Retirement Planning specialization: Must be a Registered Representative with NYLIFE Securities LLC, member FINRA/SIPC, a Licensed Insurance Agency and a New York Life Company. ⁷Wealth Advisory specialization: Must be a Financial Advisor affiliated with Eagle Strategies LLC, A Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. ⁸Based on 2024 company data for 8,136 agents operating under our N9 and N8 Agents Contracts, without persistency bonus, who were active as of December 31, 2024. N9 contracts were issued to new financial professionals from April 2004 through February 2026. N8 contracts were issued to new financial professionals prior to April 2004. N10 is the current contract for new financial professionals beginning March 2026. Contracts determine your compensation and benefits. New York Life reserves the right to amend agent contracts, in whole or in part, at any time. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Not all debits are included in the average income figures above. Each credit and debit posted to the Agent's Ledger is part of determining the agent's compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent's Ledger after the credits and debits are applied, except that Agents operating under an Introductory (PTAS) Contract who fail to sell enough to trigger a full-time agent’s contract will be paid first year commissions on any sales made in a lump sum at the end of their PTAS Contract period. ⁹This is necessarily brief and provides only general descriptions of the benefits available to eligible Agents under the applicable plans. Eligibility requirements and plan provisions vary by contract type and production levels. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The Company reserves the right to amend or terminate the benefit plans described herein at any time and for any reason. ¹⁰A full list of our awards is available here: _. ¹¹Figures reflect the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries including New York Life Insurance and Annuity Corporation (NYLIAC) for the 12 months ending December 31, 2025. ¹²Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,264.5 billion at December 31, 2025 (including $193.7 billion for NYLIAC). Dividends are payments made to eligible policy owners from divisible surplus. Divisible surplus is the portion of the company’s total surplus that is available, following each year’s operations, for distribution in the form of dividends. Dividends are not guaranteed. Intercompany transactions have been eliminated in consolidation. ¹³Based on revenue as reported by Fortune magazine June/July 2025. (New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity) New York Life accepts applications for the Financial Professional position on an ongoing basis. Qualified candidates are encouraged to apply SMRU 8932570 (Exp. 06/30/2027)

Chief Technology Officer (CTO) Hybrid in New York City $300,000-350,000 base + Equity THE COMPANY Our client is a high-growth AI-native technology company transforming the advertising and marketing ecosystem. The business is building a unified platform designed to replace fragmented agency and martech workflows with intelligent, autonomous systems that streamline campaign strategy, creative development, media activation, optimization, and reporting. Backed by a strong product vision and an experienced leadership team, the company is at the forefront of applying agentic AI to real-world enterprise workflows. They are now seeking a Chief Technology Officer (CTO) to define the technology strategy, scale the engineering organization, and lead the next phase of growth, specifically around AI agent harness and orchestration infrastructure. RESPONSIBILITIES • Define and execute the company's technology vision, architecture strategy, and long-term product roadmap., • Own AI agent harnessing and orchestration infrastructure., • Lead and scale a high-performing engineering organization, fostering a culture of innovation, accountability, and technical excellence., • Drive the development of AI-native products, agentic workflows, orchestration frameworks, and enterprise-grade automation capabilities., • Oversee platform architecture, ensuring scalability, reliability, security, observability, and operational excellence as the business grows., • Partner closely with Product, Commercial, and Customer teams to translate complex advertising and marketing workflows into market-leading software solutions., • Evaluate emerging AI technologies, LLM frameworks, agent architectures, and infrastructure strategies to maintain a competitive edge., • Establish engineering best practices covering software development lifecycle, AI governance, deployment standards, testing, and monitoring., • Build strategic relationships with customers, technology partners, and industry stakeholders to support product innovation and market expansion., • Lead technical recruitment and organizational growth while mentoring senior engineering talent and future technical leaders., • Serve as a key member of the executive leadership team, contributing to company-wide strategy, growth planning, and investor discussions. SKILLS & EXPERIENCE Required • Significant software engineering and technology leadership experience, including building and scaling modern SaaS platforms., • Deep expertise in AI agent harnessing, machine learning, LLM-powered applications, and agentic architectures., • Strong architectural knowledge across distributed systems, APIs, cloud infrastructure, data platforms, and enterprise integrations., • Proven track record of delivering complex products from concept through production in fast-moving, high-growth environments., • Experience building and leading engineering teams, including hiring, mentorship, performance management, and organizational design., • Demonstrated ability to balance strategic leadership with hands-on technical decision-making., • Excellent communication skills with the ability to engage technical teams, executive stakeholders, customers, and investors. Nice to Have • Experience within advertising technology (AdTech), marketing technology (MarTech), media, or related digital ecosystems., • Knowledge of enterprise data platforms, CDPs, DSPs, SSPs, advertising APIs, and campaign management systems., • Exposure to agent orchestration frameworks, multi-agent systems, and model context protocols., • Experience evaluating or deploying self-hosted and enterprise AI infrastructure. BENEFITS • Fully remote-first working environment across the US, • Opportunity to shape technology strategy at an executive level, • Significant influence over product direction and company growth, • Work alongside a highly experienced and senior technical team, • Fast-moving startup environment with substantial ownership and impact, • Equity participation potential and executive-level compensation package HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS CTO | Chief Technology Officer | VP Engineering | AI Leadership | Artificial Intelligence | Agentic AI | Generative AI | LLMs | SaaS | Cloud Architecture | Distributed Systems | Engineering Leadership | AdTech | MarTech | Machine Learning | Platform Engineering | Product Strategy | Remote US | Startup Leadership | Executive Technology Role | AI Agent Harnessing | AI Harness | AI Agent Orchestration

Position title: Store Director Reports to: Regional Manager Employment status: Full-Time FLSA status: Exempt La Maison Longchamp Based in Paris, Longchamp stands as an optimistic and independent family business with an international reputation. Joining Longchamp’s team means contributing to the creation and distribution of fashion and leather goods that are both fair and beautiful, and showcasing superior craftsmanship. With a presence in over 25 countries and employing 3,500 individuals, “la Maison” is now looking for innovative, passionate, and committed talent to continue its development in France and abroad in a demanding and caring working environment. Join one of our 300 boutiques, where you'll be able to offer our customers quality products, while working in an environment that values versatility and stimulates personal development. Longchamp USA is committed to fostering a diverse, equitable, and inclusive workplace where everyone feels valued and respected. We believe that a diverse team drives innovation and enhances our ability to serve our clients and communities effectively. We encourage individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, disability, age, and veteran status, to apply. We are an equal-opportunity employer and welcome applications from all qualified candidates. Position: Store Director The Strore Direcctor will be responsible for overseeing all aspects of operating a profitable store, setting the tone, and fostering a vibrant culture/environment to guarantee success in customer service, profitability, operations, staff development, and merchandise presentation and assortment. Essential Duties & Responsibilities Managerial Responsibilities: • Lead store team development through effective communication and morale awareness., • Conduct supervisory tasks including hiring, training, and performance evaluation., • Manage payroll, new hire orientation, and HR partnership., • Assign daily tasks, ensure completion, and oversee merchandising., • Train and develop associates in all store aspects., • Control expenses and maintain operational standards., • Monitor sales performance and implement necessary changes., • Participate in store opening and closing procedures., • Manage office tasks and financial management., • Adhere to company policies and procedures. Sales and Customer Service Responsibilities: • Provide excellent customer service and resolve inquiries promptly., • Maintain high service standards through effective staff planning and training., • Achieve sales and profitability goals through effective planning and inventory control., • Ensure outstanding customer service by demonstrating product knowledge and greeting every customer., • Maximize sales through persuasion and maintaining client relationships., • Manage service areas to enhance the shopping experience., • Oversee floor moves, merchandising, and stock maintenance., • Ensure merchandising standards and inventory levels are maintained., • Follow customer service guidelines and maintain a clean sales floor., • Accurately complete sales transactions and maintain cash accountability., • Work on special projects as required. Lastly, you will act as a genuine agent of change, developing innovative solutions and working on issues relating to corporate culture and CSR. Qualifications: • High School Diploma (or equivalent), • Bachelor's Degree in Fashion or related field OR equivalent combination of relevant work experience and education, • Minimum 5 years of experience in high-end retail, boutique, or sales settings, • Demonstrated expertise in retail management, including P&L management, staff supervision, scheduling, training, merchandising, inventory control, shrink management, and payroll administration, • Exceptional team player, • Creative problem-solving abilities Knowledge, Skills, and Abilities: • Exercise independent judgment to implement company policies effectively, • Possess thorough understanding of store operations, • Demonstrate proven communication and leadership skills, • Ability to speak clearly and communicate effectively, • Strong interpersonal skills, • Organized self-starter capable of multitasking in fast-paced environments, • Proficiency in computer systems and POS register operation, • Accurate documentation skills including reading, counting, and writing, • Active listening and questioning abilities, • Clear expression of ideas, both verbally and in writing, • Capability to access all areas of the store and operate necessary equipment, • Flexibility to work varied hours/days as required by business needs, • Experience in researching and exploring market trends, • Establish cross-functional relationships to drive business growth and meet financial expectations, • Knowledge of the French language is a plus The ideal candidate must be able to fulfill all the physical requirements of this job, with or without reasonable accommodation. Join us and open your Longchamp of possibilities!

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments. Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch. By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at _. Senior Coordinator, Talent Partnerships About the role: As Sr Coordinator, Talent Partnerships, you will own and evolve how Later identifies, engages, and activates influencer talent across high-impact influencer marketing campaigns. You’ll be responsible for building a best-in-class talent ecosystem—one that gives our clients access to the right creators faster, unlocks premium partnerships, and differentiates Later. This is both a strategic and executional role. You’ll shape our point of view on talent—who matters, why they matter, and how brands should work with them—while also leading the day-to-day sourcing, negotiation, and relationship management that brings campaigns to life. You will bring to Later your vast and diverse relationships with agencies, ensuring our clients gain access to premium talent while driving efficiencies and impact across campaigns. You’ll partner closely with Strategy and Client Services to ensure talent is not an afterthought, but a core lever in every program we execute. At the same time, you’ll cultivate deep relationships across the creator and management landscape, positioning Later as a preferred partner for high-value talent and their representatives. What you'll do: Strategy • Develops and continuously refines Later’s point of view on creator talent across categories, platforms, and cultural trends., • Identifies emerging and high-impact creators aligned to client objectives and brand positioning., • Stays ahead of industry shifts, pricing trends, and platform dynamics to inform recommendations., • Assists in refining processes and best practices, ensuring campaigns align with industry trends and customer goals., • Proactively surfaces agile talent and culture-driven strategic opportunities, pitching to the appropriate parties in alignment with customer business needs. Technical/ Execution • Sources and secures creator talent for campaigns, balancing quality, speed, and strategic fit., • Embed yourself within the account pod as a creator procurement expert, with a deep understanding of your client’s brand archetype, ideal talent personas, and vetting requirements., • Builds and maintains strong relationships with creators, agents, and managers to unlock priority access to talent., • Leads sourcing, negotiations, and contracting for all tiers of talent, ensuring talent and agreements meet client strategy, brand safety, and compliance standards., • Continuously improves workflows and processes to increase scalability and efficiency in talent sourcing and trend identification., • Organizes recurring touch bases with talent representatives to unlock access for the Customer Team to major talent relationships and milestones. Team / Collaboration • Partners with cross functional teams including Services, Product, Strategy, Research, and Creator teams, to embed a creator and culture-first approach is at the forefront of everything we are building across the org., • Partners with cross functional teams to ensure a seamless campaign execution and service evolution., • Contributes to client conversations with a strong, informed POV on talent recommendations. Leadership • Acts as the internal expert on creator talent, when working with internal teams. Advise on best practices when working with different tiers or types of talent., • Builds and strengthen Later’s reputation within the talent ecosystem through consistent, high-quality partnerships., • Champions operational excellence and hold a high bar for performance across the Services team. Research/Best Practices • Stays ahead of platform shifts, monetization models, and compliance regulations (FTC, platform-specific rules)., • Has a deep understanding of the regulations and requirements of clients in highly-regulated industries to ensure compliance as a core standard to every step of your work., • Continuously benchmarks industry best practices and apply insights to evolve Later’s talent partnership approach., • Experiments with new systems, processes, and partnership models to test-and-learn at scale. What success looks like: • Upholds high operational excellence, leading the organization of ongoing casting and trend-identification efforts., • Builds and maintains a differentiated network of creators and representatives that provides a competitive advantage., • Drives measurable impact on campaign success, client retention, and revenue growth., • Consistently identifies and secures high-impact creator talent that elevates campaign performance and client outcomes., • You excel at balancing campaign management, relationship management, and the creation and maintenance of operational workflows., • The cross functional team and customers view you as a trusted advisor on talent, who serves as a go to across verticals of talent and different types of talent integrations., • Establishes Later as a preferred partner for top-tier talent and their teams. What you bring: • 2-3 years of experience in influencer marketing, creator partnerships, or talent management, with a proven track record of building and scaling high-impact creator programs; agency background preferred., • Demonstrated success in sourcing, negotiating, and managing influencer relationships across all tiers of influencers, and across various partnership models., • Experience casting talent for brands that sit highly regulated industries., • Strong network of creator, agent, and manager relationships across key verticals and platforms., • Strong strategic and analytical skills with experience managing scalable systems that improve efficiency and outcomes., • Deep understanding of social platforms, creator economics, and cultural trends., • Experience implementing AI and workflow to increase operational efficiencies., • Exceptional negotiation and relationship management skills, with the ability to cultivate trust and secure competitive agreements., • Experience collaborating cross-functionally with cross-departmental teams., • Strong understanding of FTC guidelines, brand safety standards, and compliance requirements., • Familiarity with influencer marketing platforms, CRM systems, and campaign analytics tools., • An entrepreneurial mindset—operationally excellent, solutions-oriented, and energized by scaling complex systems in a fast-paced environment., • Clear communicator with strong judgment and attention to detail, with experience representing an organization externally. How you work: • Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear., • Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights., • Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement., • Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high., • Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth., • Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $70,000 - $78,000 OTE • Co-op team members, independent contractors, and freelancers are not eligible for company benefits. Where we work: We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility: At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Location: Jersey City, NJ or Charlotte, NC Contract to hire W2 only Hybrid on site About the Role Sharp Decisions is recruiting for a senior, hands-on AI engineer to join the technology organization of a major global bank. This is a forward-looking role focused on agentic AI: designing, coding, and deploying autonomous agents built on large language models. What sets this role apart is the problem space. The team is looking for someone who understands not just how to build an agent, but how agents behave once they interact with each other, with data, and with the institution around them. That means thinking about emergent risk, complex systems, and the interconnectivity of things. What You'll Do • Design and build LLM-powered agents and multi-agent systems, from prototype through production., • Write the code yourself: agent logic, tool use, orchestration, and the data pipelines that feed them., • Model how agents interact within larger systems and identify where emergent behavior can create risk., • Bring a complex-systems lens to how interconnected processes, models, and data flows affect one another., • Work with engineering and business stakeholders to shape how agentic AI is applied responsibly across the bank. What You Bring, • A deep understanding of AI agents: how they work, how they reason and act, and how they fail., • Strong working knowledge of LLMs and practical experience building agents on top of them., • Solid coding ability in Python, with PySpark and SQL experience for working with data at scale., • Experience with Microsoft Azure., • A genuine grasp of complex systems, emergent behavior, and systemic or emergent risk. Backgrounds we'd love to see: Strong candidates often come out of computational social science or similar interdisciplinary programs, where modeling agents, networks, and emergent behavior is core to the work. A PhD in one of these fields is a meaningful plus. Technology Environment Azure, Python, PySpark, SQL, LLMs and agent frameworks. Databricks is part of the environment but not required. Location Jersey City, NJ or Charlotte, NC. The team is flexible on which office and will base the role wherever the right person is. Sharp Decisions has connected technology talent with leading financial institutions for more than 36 years.

Cluep is an AI company that helps brands advertise to people based on how they feel and what they see on social media. Using its advanced AI models to analyze publicly shared text, image, video and audio signals, Cluep delivers exceptional results for leading brands such as McDonalds, Microsoft, Toyota, Starbucks, Amazon, and many more across the globe. Founded by three young entrepreneurs (recognized in the 2020 Forbes 30 under 30), Cluep began working with advertising agencies and brands in 2014. Since that time, it has worked with hundreds of agencies, ran thousands of campaigns across North America and Europe, and continues to develop new and industry leading advertising solutions as it expands its team. _ Our program for McDonald’s and OMD has been selected as a finalist for Best AI-Driven Campaign at the Digiday AI Awards. _ Ad Age featured our AI Agent-powered campaign for The Coca-Cola Company. Our campaign with Coke represents a fundamental shift in how brands and consumers interact. Moving from passive targeting to active assistance, from demanding attention to delivering value. The Role We’re looking for an experienced, strategic, and commercially minded VP, Account Management to lead our client-facing customer service and strategy team. This VP will oversee Cluep’s team of talented Account Managers, ensuring our advanced AI targeting capabilities translate into innovative media strategies, strong campaign performance, actionable insights, and long-term client growth. This is a key leadership role, working closely with the leaders of our Sales and Operations teams. The ideal candidate combines deep digital advertising expertise including technical knowledge, analytical and strategic skills, and a proven ability to build and lead high-performing teams. They will bring a consultative approach to building agency and brand direct client relationships, a passion for innovation, and the operational discipline to scale a growing organization. Responsibilities: 1. Leadership & Team Development • Lead and scale a high-performing team of Account Managers, • Ensure the team has the training and expertise to effectively promote and execute innovative media strategies that deliver measurable client outcomes, • Establish clear team priorities, accountability, and performance expectations, • Recruit, coach, and retain high-performing talent, • Build a culture of executional and analytical rigor, proactive strategic contribution and client service excellence 1. AI Media Strategy & Campaign Performance • Lead the translation of Cluep’s advanced AI targeting capabilities into effective media strategies and measurable media, marketing, and business outcomes., • Train and guide Account Managers and Sales teams in developing optimized audience targeting strategies and campaign recommendations tailored to client considerations and goals, • Train and guide Account Managers in developing and communicating performance insights and implications, • Establish best practices for campaign strategy, performance monitoring, and optimization across clients and industries - ensuring proactive identification of opportunities, risks, and recommended actions, • Champion innovative uses of Cluep’s AI capabilities to deliver differentiated solutions and to continually improve campaign effectiveness and impact, • Collaborate with Sales, Ad Operations and Engineering leadership to identify opportunities for performance enhancement and potential business growth 1. Data Insights and Strategic Intelligence • Lead the development of a strong insights function that translates performance data and AI-driven audience intelligence into actionable recommendations, • Analyze company-wide campaign performance to identify trends, top-performing strategies, and opportunities to improve results across clients, industries, and markets, • Establish frameworks to capture, share, and apply campaign learnings that strengthen future strategies and inform product innovation, • Partner with Sales and Marketing to translate performance insights into compelling case studies, thought leadership, and sales enablement materials. 1. Client Success, Retention & Account Growth • Establish consistent account management practices and performance standards that strengthen client satisfaction, • Lead the Account Management team in developing a proactive, consultative approach to client engagement, including account planning, reporting, and regular business reviews, • Guide and assist the Account Management team in building strong, on-going client relationships that drive high retention and incremental revenue, • Build senior-level brand and media agency client relationships that open doors, provide client insight and strengthen client commitment 1. Operational Excellence & Cross-Functional Leadership • Oversee the Account Management team’s effective coordination of the full campaign lifecycle, from planning and launch through optimization, reporting, and post-campaign analysis, • Improve workflows, reporting systems, tools, and processes to increase efficiency, scalability, and service quality, • Leverage AI and automation to reduce manual work and enable teams to focus on higher-value strategic activities, • Establish clear operating standards and cross-functional accountability while contributing to broader company strategy as a senior leader Required Qualifications and Skills: • Bachelor’s degree, • 10+ years of experience in digital advertising, ad tech, or programmatic media, • At least 5 years in an Account Management or Client success leadership role, • Deep understanding of, • Media strategy, audience targeting, campaign optimization and measurement, • The digital media and programmatic ecosystem, including data/privacy, • Understanding of AI applications in advertising and ability to translate sophisticated technology into practical strategies, • Exceptional analytical skills with experience identifying insights and developing strategic recommendations, • Success in building client relationships, improving retention, and supporting revenue growth, • Experience developing scalable processes and improving operational efficiency, • Excellent communication, presentation and cross-functional leadership skills, • Effective team management skills – ability to motivate, guide and develop talent Nice to have: • Experience working with CRM systems (HubSpot, Salesforce, etc.) Benefits: • Time off: 3 weeks of paid vacation approx. 2 weeks off during holiday period and 4 extended summer long weekends, • Schedule: hybrid work model (3 days in office) with flexible start/end times, • Well-being: employer paid extended health benefits, paid sick days and 401k contributions, • Culture: supportive team environment and inclusive work force, • Social: semi-annual offsite social events, holiday and life event celebrations, quarterly company wide all hands, and more! The reasonable estimated salary for this role, including base salary and bonus, range from $150,000 to $200,000 USD annually. Actual compensation may vary and will be determined based on factors including, but not limited to, the candidate's qualifications and experience, work location, and prevailing market conditions. If you're excited by the challenge of building relationships, creating opportunities, and helping brands leverage AI-powered audience intelligence to drive business outcomes, we'd love to hear from you. We are an equal opportunity employer and vow to make any necessary disability-related accommodations, upon request, throughout the entirety of the recruitment and selection process. Need support in your application? Just let us know by emailing our HR at careers@cluep.com with the email subject being "Accommodation Request for Interview – Job Title"

Clusia is led by Reed Switzer, founder of Hopscotch, a B2B payments startup acquired by Avalara / Vista Equity Partners, and Nolan Hendrickson, who previously led engineering teams within Microsoft’s Defender organization. The company is venture-backed and has not yet been publicly announced. Company Description Clusia is the first AI-native assurance firm for companies that move money. We conduct the audits and independent testing fintechs, payments companies, and banks are required to complete each year — including annual ACH audits and BSA/AML testing. Our in-house U.S.-based auditors do the work, while Clusia’s software reduces evidence gathering, pre-fills responses, and makes each engagement faster and more efficient. We believe the next great assurance firm will be built like a software company. Clusia is building that firm — bringing more regulatory assurance under one roof and using technology to improve quality, increase auditor capacity, and deliver better economics for customers. Role Description We are looking for a small number of engineers to work closely with the CTO and our founding engineers. This will not be a big team. We plan to stay lean, with high talent density, no layers, and no fluff. As a member of the technical staff, you’ll own important parts of the product and company from the beginning -- from core architecture and infrastructure to customer-facing workflows and AI-powered product experiences. You won’t be handed a neatly scoped ticket queue. You’ll be expected to understand customer problems deeply, make good technical decisions in ambiguity, and build systems that can earn trust in a highly regulated environment. Compensation range: $125,000 - $200,000 base salary + equity and benefits Note: This role is in-person in New York City and you are required to ship code. Why Join • Assurance is next up. We believe assurance is entering the same kind of transformation legal tech has seen over the last two years: large, high-stakes workflows being rebuilt around AI, collaboration, and better systems of record., • We’re building a small, high-talent-density team. Clusia will remain lean by design. There will be few openings and the bar for talent is incredibly high., • Your work will matter at global scale. The systems we’re building will power critical operations for some of the largest financial institutions and technology companies in the world., • You’ll work with founders who have done this before. The founding team has built and sold venture-backed companies in the past and is applying those lessons to build Clusia with focus, urgency, and ambition. Qualifications • AI expertise: You have hands-on experience with LLMs, agents, retrieval, prompting, and production AI systems., • Full-stack product engineering: You can build clean, reliable product experiences end to end., • Infrastructure depth: You’re comfortable with cloud services, deployment, observability, reliability, and security., • AI evaluation experience: You know how to design tests, benchmarks, and feedback loops to measure model and agent quality., • Startup execution mindset: You’re pragmatic, fast-moving, product-minded, and comfortable owning ambiguous technical problems., • Empathy for users: You care deeply about the people using what you build, not just the technical elegance of the solution., • Creating: You’ve built things outside of work -- maybe a Minecraft server as a kid, a side project, a tool for your friends, a company, an open-source project, or something nobody asked you to build.

Experienced Financial Professional Take your career further with the backing of a Fortune 100 industry leader. At New York Life, you build your business on a foundation of strength, stability, and a legacy of financial leadership. As the largest mutual life insurance company in the United States¹—with top financial strength ratings² and a long-standing presence in MDRT³—we provide the resources, brand credibility, and flexibility to grow on your terms. Whether you’re an established financial professional⁎ seeking more independence or exploring your next chapter, New York Life offers a new path forward. Here, you can transition your expertise into a business you own, supported by a company invested in your long-term success. You’ll benefit from: • A highly respected brand that opens doors and builds client trust, • Financial strength and stability that support long-term client relationships, • Access to a broad portfolio of solutions to meet diverse client needs, • Ongoing training, development, and a collaborative support network At New York Life, you can redefine your career with purpose, ownership, and the strength of a company built to last. What You’ll Do • Develop and expand your own book of business through new client acquisition, • Build relationships and guide clients through key financial decisions (retirement, protection, education planning), • Offer tailored solutions across insurance and financial products, • Grow your knowledge and skills through specialized training and professional development What Sets This Role Apart • Training & Development: Structured onboarding, licensing support, and ongoing coaching, plus reimbursement opportunities for professional designations through The American College., • Tools to Grow Your Business: Proven sales, prospecting, and marketing resources to help you attract, engage, and retain clients., • Comprehensive Solutions: A full suite of offerings—including life insurance, annuities, long-term care, disability income insurance, and investment products such as mutual funds⁴ through NYLIFE Securities LLC (Member FINRA/SIPC)—to meet diverse client needs., • Flexible Career Path: Specialize in key areas, pursue leadership, or expand into advisory services with Eagle Strategies LLC.⁵, • Autonomy: Work from a New York Life office or an independent location and build your brand under New York Life or your own DBA. Growth & Specialization: Build expertise through structured learning paths in areas such as retirement planning,⁶ wealth advisory,⁷ estate planning, and business solutions. • Advanced Case Support: Access specialized guidance for complex and high-net-worth planning strategies., • Performance Rewards: Competitive, performance-based incentives and recognition opportunities. Peer Network: Collaborate through mentorship programs, study groups, and a strong community of experienced professionals. Compensation & Benefits • You have the power to determine your own income with our commission-based compensation, • In 2024, the average income of our financial professionals under the N8 and N9 Agent’s Contract who met annual minimum sales production requirements was $120,555.⁸ Individual agent performance will determine your income., • Benefits for eligible full-time agents include medical, dental, life and long-term disability coverages, 401(k), and pension.⁹ For more information about commission-based income and benefits for financial professionals, please follow this link: _ Take the Next Step If you’re looking for a career where your work has real impact—and your growth is in your hands—supported by a company with a long history and a strong future, let’s start a conversation. About New York Life New York Life is a Fortune 100 company with a long history of doing good. We have been in business for 180+ years, helping generations of Americans protect their families and attain their financial goals. As a mutual company, we are accountable only to our policyholders, not to Wall Street or outside investors. We are focused on the long-term success of our clients. We’re proud to be recognized by the following organizations:¹⁰ • Fortune (2026): World’s Most Admired Companies, • Handshake (2026): Early Talent Award, • Seramount (2025): 100 Best Companies for Workplace Programs The results we’ve delivered for our clients¹¹ include: • 5 million policyowners protected, • $1 billion in lifetime annuity income paid, • $7.8 billion in living benefits awarded (dividends not guaranteed), • $1.2 trillion in life insurance protection in force¹², • #1 largest mutual insurer in the U.S.¹³ *The terms “agent” and “financial professional” are used interchangeably and refer to someone who is in a sales role under an agent contract. ¹Based on revenue as reported by Fortune magazine June/July 2025 ²Source: Individual Third-Party Rating Reports (as of 6/19/2025). The financial strength ratings do not apply to any investment products as they are subject to market risks and fluctuate in value. ³MDRT, 2025. _, The Premier Association of Financial Professionals®, is recognized globally as the standard of excellence for life insurance sales performance in the insurance and financial services industry. ⁴Offered by properly licensed registered representatives through NYLIFE Securities (member FINRA/SIPC), a Licensed Insurance Agency and a New York Life subsidiary. ⁵Wealth management and advisory services offered by Financial Advisors of Eagle Strategies LLC, a Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. ⁶Retirement Planning specialization: Must be a Registered Representative with NYLIFE Securities LLC, member FINRA/SIPC, a Licensed Insurance Agency and a New York Life Company. ⁷Wealth Advisory specialization: Must be a Financial Advisor affiliated with Eagle Strategies LLC, A Registered Investment Adviser and a New York Life company. Qualification requirements include but are not limited to applicable FINRA general securities, agent state law, investment advisory licenses, compliance history, production standards, and required training. Requirements are subject to change. ⁸Based on 2024 company data for 8,136 agents operating under our N9 and N8 Agents Contracts, without persistency bonus, who were active as of December 31, 2024. N9 contracts were issued to new financial professionals from April 2004 through February 2026. N8 contracts were issued to new financial professionals prior to April 2004. N10 is the current contract for new financial professionals beginning March 2026. Contracts determine your compensation and benefits. New York Life reserves the right to amend agent contracts, in whole or in part, at any time. Sales production requirements are determined annually by the company. Historical agent incomes are provided for informational purposes only. Agent income is not guaranteed. Income is dependent upon the sales of each agent. Agent compensation is commission-based and determined through the ledger process. Overall compensation includes positive income credits for commissions based on actual sales and certain allowances or incentives, if eligible, based upon persistency and production, as well as debits associated with commission reversals, authorized expenses, and other items. Not all debits are included in the average income figures above. Each credit and debit posted to the Agent's Ledger is part of determining the agent's compensation and no individual credit posted to the ledger is earned until the ledger reconciliation process is complete. Agents receive payments equal to the positive balance on the Agent's Ledger after the credits and debits are applied, except that Agents operating under an Introductory (PTAS) Contract who fail to sell enough to trigger a full-time agent’s contract will be paid first year commissions on any sales made in a lump sum at the end of their PTAS Contract period. ⁹This is necessarily brief and provides only general descriptions of the benefits available to eligible Agents under the applicable plans. Eligibility requirements and plan provisions vary by contract type and production levels. Specific terms, such as eligibility and benefits, are determined only by the terms and conditions contained in the relevant plan documents. In the event of any conflict between the information herein and the provisions of the plan documents, the plan documents will govern. The Company reserves the right to amend or terminate the benefit plans described herein at any time and for any reason. ¹⁰A full list of our awards is available here: _. ¹¹Figures reflect the consolidated results of New York Life Insurance Company (NYLIC) and its domestic insurance subsidiaries including New York Life Insurance and Annuity Corporation (NYLIAC) for the 12 months ending December 31, 2025. ¹²Individual life insurance in force is the total face amount of individual life insurance contracts (term, whole, and universal life) outstanding for NYLIC and its domestic insurance subsidiaries at a given time. The company’s individual life insurance in force totaled $1,264.5 billion at December 31, 2025 (including $193.7 billion for NYLIAC). Dividends are payments made to eligible policy owners from divisible surplus. Divisible surplus is the portion of the company’s total surplus that is available, following each year’s operations, for distribution in the form of dividends. Dividends are not guaranteed. Intercompany transactions have been eliminated in consolidation. ¹³Based on revenue as reported by Fortune magazine June/July 2025. (New York Life is an Equal Opportunity Employer – M/F/Veteran/Disability/Sexual Orientation/Gender Identity) New York Life accepts applications for the Financial Professional position on an ongoing basis. Qualified candidates are encouraged to apply SMRU 8932570 (Exp. 06/30/2027)

AI Engineer 5 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems \n • \n Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency \n • \n Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards \n • \n Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting complex AI systems \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines \n • \n Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes \n • \n Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for AI Engineer 5\n \n McLean, VA: $229,900 - $262,400 for AI Engineer 5\n \n New York, NY: $250,800 - $286,200 for AI Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for AI Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment \n • \n Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift \n • \n Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines \n • \n Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met \n • \n Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale \n • \n Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules \n • \n Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment\n, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift\n, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines\n, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met\n, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies\n, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience designing, developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale\n, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules\n, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for AI Engineer 4\n \n McLean, VA: $197,300 - $225,100 for AI Engineer 4\n \n New York, NY: $215,200 - $245,600 for AI Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for AI Engineer 4\n \n San Jose, CA: $215,200 - $245,600 for AI Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams\n, • Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads\n, • Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design\n, • Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies\n, • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n, • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production\n, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers\n, • Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks\n, • Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency\n, • Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization\n, • Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility \n, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n ion. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Staff AI Engineer\n \n New York, NY: $293,600 - $335,100 for Staff AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Staff AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for AI Engineer 5 Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services: Agentic AI, Agent Guardrails, Agent Evaluation, Agent Memory) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services - Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (LLM Gateway, FM Hosting) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment, • Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift, • Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines, • Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met, • Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies, • At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting AI services, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale, • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules, • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI Platform Services: Agentic Systems) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting complex AI systems, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You’ll Do: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One., • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc., • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more., • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems., • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One., • Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems, • Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency, • Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards, • Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, • At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: • Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy, • 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud), • Experience designing, developing, delivering, and supporting complex AI systems, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost, • Experience in building agentic AI systems and agentic workflows, • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production, • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers, • Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines, • Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes, • Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression, • Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Position Overview We are seeking an experienced, hands-on public company CFO with significant experience managing the financial, SEC reporting, capital markets, transaction, and compliance requirements of a microcap Nasdaq-listed company. The ideal candidate will have previously served as CFO or senior finance executive of one or more microcap public companies and have a demonstrated track record of timely SEC filings, successfully completing multiple financings using different capital structures, executing acquisitions, and maintaining Nasdaq and other public-company compliance requirements. Key Responsibilities 1. SEC Reporting & Financial Statements • Own the preparation and timely filing of all SEC periodic reports, including Forms 10-Q, 10-K and 8-K, • Manage the entire quarterly and annual reporting calendar and ensure filings are completed accurately and on time, • Coordinate directly with auditors, securities counsel, accounting teams and the Audit Committee, • Maintain appropriate disclosure controls, internal controls and supporting documentation, • Strong preference for someone with a track record of never having missed or been late on a 10-Q or 10-K filing 1. Capital Markets & Fundraising • Lead and execute public-company financing transactions, • Direct experience completing multiple financings using instruments such as PIPE transactions, Registered Direct Offerings, Convertible Notes/Debentures, Equity Lines of Credit (ELOCs), At-the-Market Offerings (ATMs), warrants and other equity-linked securities, common and preferred equity, and debt/structured financing, • Evaluate financing alternatives based on cost of capital, dilution, cash requirements, covenants and impact on shareholders, • Work directly with investment banks, institutional investors, lenders, placement agents and securities counsel, • Understand transaction mechanics including pricing, warrant coverage, conversion provisions, beneficial ownership limitations, exchange caps and Nasdaq shareholder approval requirements 1. Registration Statements & SEC Transaction Filings • Significant hands-on experience preparing and managing registration statements and other SEC filings, including Form S-1, Form S-3, Form S-4, resale registration statements, shelf registration statements, prospectus supplements and Rule 424 filings, proxy and information statements, and Section 16 filings, • Understand S-3 eligibility, shelf registration requirements, baby-shelf limitations and other securities issuance restrictions, • Coordinate the process from initial drafting through SEC comments and effectiveness 1. M&A and Strategic Transactions • Have completed multiple acquisitions involving public companies, preferably as the acquiring company's CFO, • Lead financial diligence, valuation, transaction modeling and deal structuring, • Evaluate cash, stock, debt and combination consideration structures, • Manage purchase accounting and post-acquisition financial reporting, • Coordinate with legal counsel, auditors, bankers and target-company management, • Understand SEC and Nasdaq requirements associated with acquisitions, including Form 8-K, S-4 and shareholder approval requirements where applicable, • Manage integration of acquired companies into the company's accounting, controls, reporting and financial systems 1. Nasdaq Compliance • Maintain ongoing compliance with Nasdaq listing requirements, • Monitor minimum bid price, shareholders' equity, market value, public float and other applicable continued-listing standards, • Understand Nasdaq rules governing equity issuances, the 20% issuance rule, shareholder approval requirements, change-of-control transactions, equity compensation, and related-party transactions, • Manage communications and submissions to Nasdaq when required, • Proactively identify potential compliance issues before they become listing deficiencies 1. Stock Compensation & Equity Administration • Manage employee and executive equity compensation programs, including stock options, RSUs, restricted stock, performance-based equity, and Employee Stock Purchase Plans where applicable, • Understand accounting under ASC 718 and related tax and withholding requirements, • Manage equity-plan share availability and coordinate shareholder approvals when necessary, • Work closely with payroll, legal counsel and the transfer agent on issuances, vesting, withholding and settlement, • Maintain accurate capitalization and fully diluted share-count reporting 1. Technical Accounting & Audit • Own the company's relationship with its independent registered public accounting firm, • Strong knowledge of U.S. GAAP applicable to microcap public companies, • Manage complex accounting matters involving convertible securities, warrants and derivatives, stock-based compensation, revenue recognition, business combinations, goodwill and intangible assets, debt modifications, and going-concern assessments, • Manage annual audits and quarterly reviews efficiently and on schedule, • Identify accounting issues early rather than allowing them to delay SEC filings 1. Cash Management, Budgeting & Financial Planning • Maintain detailed visibility into liquidity, cash runway and working capital, • Develop annual budgets, forecasts and scenario models, • Provide management and the Board with accurate cash forecasts, • Connect operating plans with anticipated financing requirements, • Maintain disciplined controls around expenditures and cash management 1. Board & Audit Committee • Serve as the primary financial executive working with the Board and Audit Committee, • Prepare quarterly financial and Audit Committee materials, • Clearly communicate financial performance, liquidity, financing requirements, accounting matters and financial risks, • Support the Board in evaluating financings, acquisitions and other significant transactions 1. Investor & Capital Markets Support • Work closely with the CEO on investor communications and capital-markets strategy, • Participate in investor, lender and investment-banking discussions, • Ensure financial information communicated externally is consistent with SEC filings and Regulation FD requirements, • Help management evaluate the dilution and shareholder impact of financing alternatives 1. Insurance, Risk & Corporate Compliance • Oversee the company's corporate insurance programs, including D&O, EPLI, cyber, general liability and other appropriate coverage, • Coordinate renewals and ensure appropriate coverage for a public company, • Work with legal counsel on corporate governance, regulatory and compliance matters, • Oversee financial aspects of tax, payroll, employment-related obligations and other corporate compliance requirementsIdeal Candidate Profile:, • Previous experience as CFO of a Nasdaq-listed microcap or small-cap public company, • Extensive hands-on experience with 10-Qs, 10-Ks, 8-Ks and SEC reporting, • A demonstrated history of consistently filing 10-Qs and 10-Ks on time, • Personally completed multiple public-company financings, preferably utilizing several different instruments rather than only traditional equity raises, • Direct experience with PIPEs, convertible notes, ELOCs, ATMs, registered directs, warrants and other structured securities, • Personally managed multiple S-1 and S-3 registration statements, with S-4 experience strongly preferred, • Completed multiple M&A transactions involving a public company, • Strong working knowledge of Nasdaq listing and shareholder-approval rules, • Significant experience with stock compensation plans and equity administration, • Strong technical accounting and SEC reporting capabilities, • Experience working directly with the SEC, Nasdaq, PCAOB-registered auditors, securities attorneys, investment banks, transfer agents and institutional investors, • Ability to operate effectively in a lean microcap environment and personally drive critical work rather than relying on a large finance organization Powered by JazzHR aliFCmYgcY

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Clinical Data Manager / CDISC Type: Contract Compensation: $100–$150/hour Location: Remote Commitment: 20–25 hours/week Role Responsibilities • Lead clinical data generation. Ensure every artifact reconciles across protocols, datasets, TLFs, and narratives., • Validate synthetic data rooms for realism, internal consistency, and traceability., • Design prompts, golden outputs, and rubrics to quantify AI agent capabilities., • Enforce cross-file consistency to ensure patient data integrity across raw data and TLFs., • Manage CDISC and SDTM conformance work and EDC build through database lock., • Work independently and asynchronously to meet deadlines and improve AI model performance. Qualifications Must-Have • 5+ years of experience., • Managerial oversight of entire clinical data rooms., • Hands-on experience with CDISC and SDTM., • Comfortable with EDC build through database lock., • Location: US or Canada. Preferred • 10–25 years of experience., • 30+ hours/week availability. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Engineering Enablement helps engineering teams build faster, more safely, and with less friction. The team owns the tools, workflows, and platform capabilities that improve developer velocity, quality, and confidence across the product development lifecycle, with a growing focus on AI-native tooling. That includes Hinge's agent platform, the foundation for building and operating AI agents across the development lifecycle, alongside the CI/CD pipeline, developer-facing observability, and the tooling that makes spinning up services and internal tools frictionless. We are looking for a Senior Engineering Manager to lead Engineering Enablement within Platform. This role owns the team's strategy, roadmap, and execution while ensuring the work delivers meaningful value to engineering teams across the company. You will identify the highest-leverage opportunities to improve how engineers build, test, validate, and adopt platform capabilities, and you will lead the team that turns those opportunities into durable systems and practices. This is a hands-on platform leadership role with broad cross-functional reach. You will partner closely with product engineering teams and adjacent platform teams to ensure Engineering Enablement is building the right capabilities, driving adoption, and improving outcomes rather than just shipping tools. Responsibilities • Lead the Engineering Enablement team strategy: define the highest-leverage opportunities to improve developer velocity, quality, and engineering effectiveness., • Own the team's roadmap and execution: make priorities clear, drive decisions to closure, and ensure the team is delivering against meaningful outcomes., • Build and improve the tools, workflows, and platform capabilities that help engineers develop, test, validate, and ship software more effectively., • Treat internal platform work as a product: understand user needs, shape the right solutions, drive adoption, and measure success through velocity and quality improvements., • Advance the team's AI-native bets: make Hinge's codebase and systems operable by agents, and build the validation infrastructure that lets faster development translate into faster, safe product impact., • Raise the technical bar on the team through strong engineering judgment, clear standards, and credible involvement in architecture and design discussions., • Grow and manage the engineers on the team, including coaching, performance management, hiring, and development of future technical and people leaders., • Partner across Platform and with product engineering leaders to make shared work legible, coordinated, and effective., • Represent Engineering Enablement clearly to the broader engineering organization: what it owns, what it enables, and how teams should engage with it.What We're Looking For A track record of leading engineering teams, or equivalent experience driving execution and technical direction as a senior technical leader. Strong product instincts for internal platforms, with a clear focus on user value, adoption, and measurable outcomes. Experience improving developer workflows, engineering productivity, quality systems, build and release processes, or related platform capabilities. Strong technical depth across some combination of developer tooling, CI/CD, distributed systems, async and event-driven systems (streaming, workflow orchestration, queues), testing, or engineering productivity infrastructure. The ability to balance near-term delivery with longer-term platform investment and technical quality. Strong people leadership, including direct feedback, coaching, performance management, and development of engineers at different levels. Comfort working across team boundaries and driving progress through partnership, clarity, and influence. A practical, outcome-oriented mindset and a bias toward making engineers more effective through simple, durable solutions. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. #LI-CH1 As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .