Currently tracking 241 active AI roles, down 22% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
Capital One currently has 305 active AI-related roles in our index. The most common open titles are: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (9), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (8), Applied Researcher I (6), Distinguished Engineer (6), Applied Researcher II (5). Most positions are in Engineering and Research.
Capital One's active AI hiring is concentrated in: serving infrastructure (28%), agents (27%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).
Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.
In the past 30 days, Capital One has posted 96 new AI-related roles. That is a -26% change versus the prior 30 days (130 → 96).
| Title | Stage | AI score |
|---|---|---|
| Manager, Product Management - Enterprise Document Management Platform Product Manager for an Enterprise Document Management Platform responsible for real-time ingestion, deletion, and redaction capabilities, supporting internal customers and agents. The role involves leading an engineering team, building roadmaps, and reducing operational risks through strengthened controls. | — | 5 |
| Data Analysis Manager - Tech This role is for a Data Analysis Manager in Fintech, focusing on leveraging analytical skills to drive strategy, build and use models for data validation, and work with large datasets. The role involves leading a team of analysts, managing projects, and improving operational efficiencies. While not directly building AI models, the role utilizes AI tools and aims to enhance customer experience through data-driven insights. The ideal candidate has a strong quantitative background, experience in data analytics and programming, and ideally some experience with AI tools and Business Intelligence. | — | 5 |
| Manager, Product Management-Network Token Access and Servicing Team Product Manager role focused on enhancing stored payment and virtual card servicing experiences with AI-powered functionality, shaping the future of payment information from networks like Discover, Mastercard, and Visa, and collaborating with internal partners for best-in-class customer experiences. | — | 5 |
| Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Lead Data Engineer role focused on building scalable platforms for hyper-personalized messages and experiences in the Marketing and Messaging team at Capital One. The role involves collaborating with Agile teams, designing and developing technical solutions, and working with machine learning and microservices. | — | 5 |
| Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Lead Data Engineer role focused on building scalable platforms for hyper-personalized messages and experiences in the Marketing and Messaging team at Capital One. The role involves collaborating with Agile teams, designing and developing technical solutions, and working with machine learning and microservices. | — | 5 |
| Lead Data Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Lead Data Engineer role focused on building data pipelines and platforms for marketing and messaging personalization, utilizing Python, SQL, and cloud technologies like AWS, Snowflake, and Databricks. The role involves collaborating with Agile teams, optimizing information systems, and mentoring engineers. While GenAI is mentioned, the core responsibilities are data engineering and pipeline development. | — | 5 |
| Senior Associate, Product Management (Anti-Money Laundering) Product Manager role focused on Anti-Money Laundering (AML) platforms within Enterprise Risk Management at Capital One. The role involves launching new features for AML platforms, partnering with Data and Tech, leveraging AI tools for product discovery and delivery, and driving transformation in risk management. It requires understanding business and customer needs, delivering outcomes, leveraging technology and data, solving complex problems, and leading cross-functional teams. | — | 5 |
| Senior Manager, Data Science - US Card (Upmarket Segments) Senior Manager of Data Science at Capital One, focusing on US Card Upmarket Segments. The role involves partnering with cross-functional teams to deliver customer-centric products, leveraging technologies like Python, AWS, and Spark to analyze large datasets, and building machine learning models through their full lifecycle (design, training, evaluation, validation, implementation). The ideal candidate is customer-focused, innovative, creative, a leader, technically proficient with open-source tools and cloud platforms, statistically-minded with experience in various ML techniques (clustering, classification, sentiment analysis, time series, deep learning), and adept at handling big data. | ShipPost-train | 5 |
| Manager, Product Management- Core Orion Product Manager to lead a team building agentic tooling for a business-critical upgrade of core Capital One Card data. Responsibilities include defining strategy, building relationships, and delivering transformation logic. | Agent | 5 |
| Distinguished Data Engineer - Card Data Distinguished Data Engineer role focused on managing and leveraging large-scale, sensitive data for financial services. The role involves architecting high-availability data solutions, working with cloud technologies (Snowflake, Kafka, AWS), and collaborating with ML Scientists and Product Managers. While the role supports ML models and predictive analytics, its core focus is on data engineering and architecture rather than building AI models directly. | — | 5 |
| Lead Software Engineer, Full Stack Lead Software Engineer, Full Stack role at Capital One, focusing on building and scaling a platform for customer communication analysis. Integrates Generative AI and LLMs to automate evaluations and understand voice/data, driving data-driven decisions. Requires experience in full-stack development, cloud computing (AWS), and leading projects. | Agent | 5 |
| Manager, Learning Experience Design This role focuses on designing and developing learning experiences for employees, leveraging AI tools to create content and practical applications. The Manager, Learning Experience Design will act as a player-coach, setting standards for the design team while also being hands-on in creating training materials, simulations, and digital games. The goal is to move away from traditional courses towards tools that help employees solve problems in real-time and improve performance. | — | 5 |
| Senior Associate, Product Management - Pay Over Time (Business Cards & Payments) Product Manager role focused on "Pay Over Time" for business cards and payments within Capital One's Business Cards & Payments organization. The role involves owning product strategy, prioritizing use cases based on customer feedback and data, and managing the product backlog for a tech team. While formal AI experience is a plus, the company highly values candidates who have explored AI in personal projects, used AI development environments, or built automations with AI agents, indicating an interest in leveraging AI for learning, building, and problem-solving. | — | 5 |
| Senior Associate, Data Scientist - US Card (Marketing) Capital One is seeking a Senior Associate Data Scientist for their US Card Marketing team. This role involves building machine learning models for customer targeting, leveraging technologies like Python, AWS, and Spark. The ideal candidate is innovative, creative, technically skilled, statistically-minded, and comfortable with large datasets. Responsibilities include partnering with cross-functional teams, leveraging technology to uncover insights, and building ML models through all development phases. | Post-train | 5 |
| Distinguished Engineer (Remote - Eligible) Distinguished Engineer role focused on embedding AI and automated code transformation into the developer lifecycle within the Risk Technology organization. The role involves building data-driven tools using machine learning for risk prevention and issue detection, with data powering ML models and regulatory filings. The position emphasizes technical leadership, innovation, mentoring, and full-stack development with a product engineering mindset. | Ship | 5 |
| Director Product Management, Small Business Bank Product Management Director for Small Business Bank at Capital One, focusing on real-time decisioning for customer applications and transactions. The role involves shaping automated decisioning to balance customer experience with fraud loss, leading a team of product managers, and collaborating with cross-functional teams to deliver digital experiences. Key responsibilities include defining and building risk management solutions for pre- and post-booking processes. | — | 5 |
| Product Manager, MarTech (Enterprise Consumer Products) Product Manager for MarTech within Enterprise Consumer Products, focusing on foundational capabilities for customer interactions. The role involves integrating Data, Assistance & AI to manage infrastructure and AdTech for hyper-personalized user experiences, and managing platforms for content creation and communication distribution. It requires a human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership approach. | — | 5 |
| Sr. Distinguished Software Engineer - AML (Remote - Eligible) Sr. Distinguished Software Engineer focused on Anti-Money Laundering (AML) within Capital One's Risk Technology team. This role involves defining and implementing modern technologies to combat financial crime, working with large-scale data architectures and cloud infrastructure, and mentoring other engineers. The position requires expertise in AI/ML strategies for anomaly detection and explainability in a regulated environment. | Ship | 5 |
| Senior Manager, Product Management - Commercial Card & AI Decisioning (Business Cards & Payments) Product Manager role focused on Commercial Card & AI Decisioning within Capital One's Business Cards & Payments organization. The role requires reimagining the status quo, finding value creation opportunities, and driving innovative customer experiences through technology, with a demonstrated interest and aptitude for AI. While formal AI experience is a plus, candidates are encouraged to show proactive use of AI in personal projects or development environments. | — | 5 |
| Principal Associate, Data Scientist - Card DFS Integration Data Scientist role focused on building and implementing machine learning models for the Discover Card portfolio within a fintech domain. The role involves partnering with cross-functional teams, leveraging technologies like Python, AWS, and Spark, and handling large datasets. Experience in model development lifecycle, including training, evaluation, and validation, is required, with a focus on statistical modeling and various ML techniques. | Post-train | 5 |
| Manager, Data Scientist - Card DFS Integration Capital One's Discover Card Customer Management Data Science team is seeking a Manager, Data Scientist to oversee the management and integration of models used for underwriting the Discover Card portfolio. The role involves partnering with cross-functional teams, leveraging technologies like Python, AWS, and Spark, and building machine learning models through their full development lifecycle. The ideal candidate is customer-focused, creative, statistically-minded with experience in various modeling techniques, and adept at handling large datasets. | Post-train | 5 |
| Senior Manager, Product Management - Business Cards & Payments Product leader for Business Cards & Payments at Capital One, focusing on customer experiences through technology. The role requires a demonstrated interest and aptitude for AI, with a preference for candidates who have proactively incorporated AI into personal projects or explored AI-driven development environments. The role emphasizes human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership. | — | 5 |
| Distinguished Engineer - Risk Tech (Remote - Eligible) Distinguished Engineer role focused on applying AI/ML to risk management and the developer lifecycle within an enterprise setting. The role emphasizes technical leadership, strategy, and building intelligent, data-driven risk products. While AI/ML is a key component, the primary output is the risk management product itself, not foundational AI research or model serving infrastructure. | Ship | 5 |
| Distinguished Software Engineer - Identity This role focuses on re-architecting identity and access management (IAM) systems in a highly regulated financial environment, moving towards a policy-based, Just-In-Time (JIT) access model. The goal is to build an intelligent, self-sufficient platform that uses real-time context to grant access, abstracting legacy IGA components and enabling developer self-sufficiency while adhering to strict regulatory guardrails. The role involves technical leadership, architectural design, and contributing to a community of technical experts. | — | 5 |
| Director, Product Management - Spend Management Experience (Business Cards & Payments) Product Management Director for Spend Management Experience at Capital One, focusing on business cards and payments. The role involves owning strategy, roadmap, and delivery for spend management solutions, including embedding AI and data-powered features for visibility, control, and intelligent automation. It also requires fostering innovation and growing product talent. | — | 5 |
| Senior Business Analyst - Market and Liquidity Risk Oversight (MLRO) Senior Business Analyst role focused on Market and Liquidity Risk Oversight (MLRO) within Capital One's Capital Markets and Treasury groups. The role involves independent risk management, analysis of financial markets and business trends, and providing independent analysis and effective challenge. It requires strong analytical skills, Python fluency, comfort with data governance, and a foundational understanding of finance and banking. The candidate will utilize technology for data analysis and process automation, and interact with stakeholders to evaluate risk. Experience with AI tools like Gemini for process automation is mentioned as a plus. | — | 5 |
| Manager, Data Annotation Operations / Emerging Technology Enablement (ETE) Manages a team responsible for data annotation operations and emerging technology enablement, with a focus on AI and ML workflows within the financial services industry. | — | 5 |
| Manager, Data Analysis - Global Payment Network, Network Product & Platforms Manager, Data Analysis role focused on analyzing participant leverage of network capabilities, building frameworks, and manipulating large datasets to understand platform usage and value. Key focus on innovation and simplification, leveraging technology and AI to automate KPIs, root cause analysis, and trend detection. Partners with stakeholders to transform transactional attributes into actionable insights and recommendations, influencing network evolution, participant experience, and network growth. | — | 5 |
| Lead Software Engineer, DevOps / MLOps (Agentic Workflows, AI/ML Guardrails, Kubernetes, Python, AWS) Lead Software Engineer, DevOps / MLOps role focused on building agentic workflows and AI/ML guardrails within a fintech company, utilizing Kubernetes and AWS. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions. | Agent | 5 |
| Sr. Business Analyst - Risk AI Strategy This role is for a Sr. Business Analyst focused on AI strategy within the Enterprise Risk Organization. The primary responsibilities include driving the AI agenda, guiding investment decisions for Generative AI and traditional ML, defining success metrics, and developing analytic frameworks. The role requires collaboration with technical and non-technical partners to identify business challenges and opportunities, develop hypotheses, and make strategic recommendations. While the role touches on AI strategy and investment, it does not involve direct building or shipping of AI models or systems. | — | 5 |
| Manager, Ontology & Data Modeling This role focuses on developing and maintaining enterprise ontologies and data models to support Capital One's Data Strategy. It involves collaborating with various teams, including Machine Learning, to integrate semantic technology into products and services. The role requires advocating for the value of semantic technology and knowledge organization, managing roadmaps, and ensuring adherence to W3C standards for ontologies. | — | 5 |
| Sr. Director, Software Engineering SWE, HR Tech & Platforms (People Tech) This role leads an engineering and platform organization focused on HR technology within a Fortune 100 company. The primary focus is on building and enhancing enterprise tech capabilities for HR professionals, executives, and associates, with a key initiative being the pioneering of AI for HR. The role involves driving technical strategy, modernizing HR experiences, and managing teams to deliver scalable, high-performance applications and product experiences. | Ship | 5 |
| Senior Quantitative Analyst - Global Finance This role focuses on developing and enhancing quantitative models and analytical frameworks within Capital Markets & Analytics, leveraging machine learning and cloud technologies to manage financial risks and drive business insights in the fintech domain. The position requires expertise in quantitative analysis, statistical modeling, and programming, with a focus on applying these skills to financial markets, derivatives, and investment portfolios. | Data | 5 |
| Lead Software Engineer, Back End (Enterprise Platform Technology) This role is for a Lead Software Engineer on an Enterprise Platform Technology team at Capital One, focusing on building an AI-powered campaign orchestration platform for marketing. The platform automates the marketing campaign lifecycle, from natural language intake to multi-channel dispatch, and must adhere to regulatory compliance in a financial services environment. The role involves leading a team, designing and building distributed microservices, and collaborating with product managers to deliver cloud-based solutions. | Agent | 5 |
| Manager, Product Management - Business Cards & Payments Product Manager role focused on Business Cards & Payments within Capital One, requiring a demonstrated interest and aptitude for AI, with a preference for candidates who have proactively incorporated AI into personal projects or explored AI-driven development environments. | — | 5 |
| Distinguished Data Engineer Distinguished Data Engineer role focused on driving technical strategy for enterprise-scale data pipelines, leveraging AWS, Lakehouse architecture, Kafka, Flink, Spark, Airflow, Snowflake, and Databricks. The role involves building awareness, promoting engineering excellence, influencing stakeholders, and mentoring talent. Preferred qualifications include experience deploying ML models and Agentic AI solutions, and data observability tooling. | DataAgent | 5 |
| Sr. Manager, Tech & Cyber Risk This role is a Senior Manager of Tech & Cyber Risk within Capital One's Business Risk Office. The primary focus is to act as a strategic risk partner to business and technology leaders, shaping the technology risk posture. Key responsibilities include designing and governing the responsible implementation of AI, assessing risks for technology integrations, and leading large-scale architecture transformation programs. The role involves policy optimization, stakeholder partnership, and reporting for audit and compliance engagements. | — | 5 |
| Senior Manager, Software Engineering, Full Stack (Enterprise Platform Technology) This role is for a Senior Manager of Software Engineering focused on an AI-powered marketing campaign platform. The platform uses natural language to orchestrate the full campaign lifecycle, including audience definition, content generation, compliance review, experimentation, and dispatch. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions. Experience with LLM-based application development is preferred. | Agent | 5 |
| Lead Software Engineer (Card Tech) Lead Software Engineer role focused on integrating LLMs and agent tooling into existing enterprise software development lifecycles and CI/CD pipelines within Capital One's Card Tech division. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions, with a specific emphasis on applying AI technologies to financial services. | Agent | 5 |
| Sr Director, Product Management - MarTech (Business Cards & Payments) This role is for a Sr. Director of Product Management in the MarTech domain for Capital One's Business Cards & Payments team. The focus is on driving growth through game-changing products and capabilities, building a modern Martech foundation, and leveraging AI-enabled speed and real-time data to improve conversion and Go-To-Market velocity. The role requires leadership in product management, business focus, technology understanding, problem-solving, and transformational leadership. | — | 5 |
| Business Director: Capital One Shopping (Remote-Eligible) Business Director to join Capital One Shopping team to improve and integrate new product and revenue opportunities with merchant partners, and drive cross-functional execution. This role will have a demonstrated interest and aptitude for AI, and candidates who have proactively incorporated AI into personal projects, explored AI-driven development environments, or built automations using AI agents are highly valued. | — | 5 |
| Distinguished Software Data Engineer This role focuses on designing and architecting Capital One's enterprise data platforms, with a specific emphasis on creating a unified Data Product architecture to ensure AI readiness. The goal is to transform fragmented datasets into high-fidelity, machine-ready assets by modernizing the Business Data Catalog and driving data standardization practices. The engineer will build resilient, distributed systems and event-driven patterns, acting as an authoritative expert in data consumption and a visionary builder. | Data | 5 |
| Lead Software Engineer (Card Tech) Lead Software Engineer role at Capital One focused on integrating LLMs and agent tooling into enterprise software development lifecycles and CI/CD pipelines. The role involves designing and implementing complex, multi-step agentic workflows and orchestration frameworks, with a focus on applying advanced agentic testing skills and tooling. The position requires experience with cloud platforms (AWS, Azure, GCP) and programming languages like Java, Python, SQL, Node, Go, and Scala. | Agent | 5 |
| Director, Research & User Experience Intelligence, Card This role is for a Director of Research & User Experience Intelligence within Capital One's Card organization. The primary focus is on leveraging AI and agentic models to accelerate learning velocity for product teams by configuring agents for insight extraction, concept testing, and market assessments. The role involves building cumulative user intelligence, creating research and testing agents, and establishing a continuous discovery program. While the role uses AI tools and configures agents, it is more focused on the application and integration of AI for product development and user experience rather than core AI research or model building. | Agent | 5 |
| Senior Product Manager, Growth - Capital One Shopping (Remote-Eligible) Product Manager for Capital One Shopping focused on growth through technical SEO, platform scale, and user experience. The role involves productizing organic strategies using schema, structured data, and web performance to drive growth and customer experiences. While not core AI development, the role requires a demonstrated interest and aptitude for AI, encouraging candidates to have incorporated AI into personal projects or explored AI-driven tools. | — | 5 |
| Manager, Product Management, Card Intelligence Product Manager role focused on leveraging Machine Learning (ML) and potentially Generative AI to build customer-facing products and solutions within the Card Intelligence team at Capital One. The role involves defining ML requirements, reducing time-to-market for models, enabling scalable model deployment, and managing the product lifecycle for predictive risk models and potentially GenAI investigations, ultimately supporting business decisions and customer outcomes in the Business Cards & Payments (BC&P) line of business. | ShipServe | 5 |
| Senior Business Analyst - Anti-Money Laundering (AML) Modeling The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is modernizing how Capital One identifies potential money laundering, terrorist financing, and human trafficking through advanced analytic techniques, statistics, and machine learning models. The team develops data sourcing, predictive models, monitoring, and reporting using tools like AWS, Snowflake, Python, and Spark. The role is responsible for end-to-end development, deployment, and monitoring of critical risk management models. | Data | 5 |
| Lead Software Engineer, Backend (AI Infrastructure & Tooling) This role focuses on building and pioneering AI Infrastructure & Tooling within a financial services company. The engineer will lead projects and a team to create solutions, collaborate with product managers, and deliver cloud-based systems. A key responsibility is building or deploying AI Agents to automate complex workflows, leveraging frameworks like LangChain, CrewAI, or AutoGPT. | Agent | 5 |
| Senior Lead Data Engineer (Python, AWS, Spark, Kakfa, SQL, Snowflake, DynamoDB, Databricks, GenAI) Senior Lead Data Engineer role focused on building data pipelines and platforms for marketing and messaging personalization. The role involves collaborating with Agile teams, designing and developing technical solutions using data movement tools and technologies, and optimizing information systems. Requires experience in Python, SQL, big data technologies, and cloud computing. | — | 5 |
| Principal Data Analyst (Navigator Platform) This role is for a Principal Data Analyst on the Navigator Platform team at Capital One. The team uses analytics, machine learning, and cloud technology to create a digital auto buying experience. The role involves leveraging data to innovate, build data solutions, and provide business intelligence. The candidate will work with various data sources, build self-service frameworks, translate business needs into data solutions, and manage data quality. The team's work ranges from trigger-based campaigns to personalized shopping experiences. | Ship | 5 |