Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Banking · Banking
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.
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 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 |
|---|---|---|
| Sr Distinguished Engineer Senior Distinguished Engineer role focused on defining and implementing development of critical experiences at scale within the Autonomous Deployment team. The role partners across technology and business leaders on the future vision of the enterprise, advocating for and accelerating improvements to platforms and systems that enable continuous delivery leveraging industry leading practices including Artificial Intelligence. Responsibilities include creating and ensuring consistency of solution architectures, overseeing tooling for automated testing, test data generation, service virtualization, and defining metrics. The role also involves close collaboration with Business Risk Officers and federal regulators. | — | 5 |
| Senior Manager, Senior Counsel - Card Data Models Decisioning Credit (Hybrid) This role provides legal counsel and strategic advice to AI, data, and model development teams within Capital One's Card Legal Team. The Senior Manager, Senior Counsel will identify and assess legal risks associated with AI, alternative data sources, and model development, ensuring compliance while supporting innovation. The role requires a lawyer with experience advising on cutting-edge technology, particularly in AI, data, and model development, and the ability to navigate complex legal landscapes. |
| — |
| 5 |
| Business Manager This Business Manager role at Capital One focuses on bridging business strategy with data science and engineering to drive business forward using ML and GenAI. The role involves developing business strategies, managing delivery of business intent, partnering with various teams, and making data-driven decisions. While not directly building AI models, the role is deeply involved in leveraging AI/ML technologies to automate workflows and improve customer experience within the financial services domain. | — | 5 |
| Manager, Benefits - Benefits and HR Services Team This role manages benefits operations and technology, focusing on system and process changes, annual enrollment, and leveraging AI tools for efficiency. It involves leading a team, partnering with tech and product, and ensuring smooth delivery of HR services. | — | 5 |
| Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team Capital One is seeking a Senior Associate Data Scientist to join their Business Cards & Payments Credit Infrastructure Team. This role will focus on developing and implementing valuations models and advanced analytics for credit card acquisitions. The data scientist will partner with cross-functional teams, leverage technologies like Python, AWS, and Spark, and build machine learning models through all phases of development. The ideal candidate has a strong statistical background, experience with various ML techniques, and is comfortable with open-source tools and cloud platforms. | Ship | 5 |
| Manager, Quantitative Analysis - Model Risk Office Manager for a Model Validation team within the Model Risk Office, responsible for ensuring the accuracy and robustness of the firm's market risk models, specifically those used for derivative pricing and risk management. The role involves validating models, understanding business processes, assessing model risks, and communicating technical concepts to diverse stakeholders, including regulators. Requires strong quantitative analysis skills, experience with statistical and machine learning modeling, and knowledge of regulatory requirements like CCAR. | — | 5 |
| Distinguished Software Data Engineer Distinguished Data Engineer role focused on data engineering, data architecture, and AWS, with experience in deploying machine learning models and big data processing solutions. The role emphasizes technical leadership, mentoring, and driving adoption of modern technologies within the Cyber Enterprise Architecture business unit. | — | 5 |
| Senior Distinguished Data Engineer (Remote-Eligible) Senior Distinguished Data Engineer role focused on data strategy, governance, analytics, and AI integration within Capital One's Enterprise Data business unit. The role involves building awareness and adoption of modern technologies, mentoring teams, and leading the creation of next-generation talent. Requires significant experience in data engineering, data architecture, and AWS, with preferred experience in data modeling, ontology standards, Python/SQL/Scala, deploying ML models, and big data processing on AWS. | — | 5 |
| Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team at Capital One is modernizing the identification of financial crimes using advanced analytics, statistics, and machine learning. The role involves developing predictive models, monitoring dashboards, and reporting using tools like AWS, Snowflake, Python, and Spark. The team is responsible for the end-to-end development, deployment, and monitoring of production models for transaction monitoring with machine learning, including Generative AI models. | Data | 5 |
| Engineering Manager – Software & ML Engineering Manager for Software & ML at Capital One in London/Nottingham. The role focuses on leading and scaling a team that builds core software for data-driven financial products, with an emphasis on integrating ML models into consumer-facing experiences. Responsibilities include coaching engineers, collaborating with Product Managers and Data Scientists, overseeing the development of performant and secure platforms for AI features, and optimizing delivery processes for software and model updates. Requires leadership experience, technical breadth in modern languages and cloud environments, and an understanding of AI model inference, data requirements, and managing AI's non-deterministic nature. The role offers learning opportunities in ML integration at scale and regulated AI within a financial landscape. | Serve | 5 |
| Senior Distinguished Engineer – Automated Governance (Remote-Eligible) Senior Distinguished Engineer to lead the technical vision for automated governance and software supply chain integrity, focusing on engineering systems that integrate compliance into developer workflows and ensure agentically-produced code meets quality and compliance standards in a regulated environment. | Agent | 5 |
| Principal Associate, Capital Markets and Risk This role focuses on risk management within Capital Markets and Treasury, involving analysis of financial markets, balance sheet dynamics, and regulatory requirements. While it mentions using AI tools like Gemini for automation, the core responsibilities are in financial analysis, risk assessment, and data management, not in building or deploying AI models. | — | 5 |
| Manager, Product Manager - Expense Management (Business Cards & Payments) Product Manager for Expense Management within Capital One's Business Cards & Payments division. The role focuses on developing and delivering a best-in-class, automated solution for small business owners to track, manage, and reconcile expenses, leveraging AI-driven automation and modern digital capabilities. The Product Manager will translate customer and market insights into product strategy and technical requirements, collaborating with cross-functional teams to enhance customer engagement and strengthen relationships. | — | 5 |
| Senior Manager, Software Engineering - Artificial Intelligence Senior Manager, Software Engineering role at Capital One focused on Artificial Intelligence, leading technology projects and a team of developers. The role involves creating cloud-based solutions, collaborating with product managers, and utilizing various programming languages and cloud services. Requires significant people management and software engineering experience, with a preference for Gen AI and cloud platform experience. | Ship | 5 |
| Senior Product Manager, AppSec Senior Product Manager for Application Security (AppSec) at Capital One, focusing on integrating AI into the Software Development Lifecycle (SDLC) for enhanced security. The role involves defining strategy, roadmaps, and partnerships for AppSec scanning tools with a 'shift left' approach, aiming to improve developer experience and security without compromising speed. Key responsibilities include evaluating AI-application security strategies, secure integration of AI agents, prompt engineering guardrails, and automated remediation pipelines, alongside traditional AppSec tool evaluation and governance. | Agent | 5 |
| Distinguished Engineer (Bank Tech) Distinguished Engineer role focused on technical architecture and lead engineering for Business Lending and Capital Markets software assets within Capital One Bank. The role involves defining multi-year technical strategy for commercial underwriting, risk solutions, securitization systems, and trading platforms. It also emphasizes advancing AI adoption, strategically leveraging agentic AI for user efficiency, operating with an enterprise platform mindset, bridging data silos, and solving critical architectural challenges. The role requires hands-on engineering, prototyping, code contribution, mentoring, and advising executive leadership to ensure resilient, compliant, and innovative banking infrastructure. | Agent | 5 |
| Director, Product Management: Capital One Shopping (Remote - Eligible) Product Director for Capital One Shopping, focusing on improving and integrating new product and revenue opportunities with merchant partners. 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 candidate will own business cases, prioritization, and monitoring for product experiences, leveraging data and SQL for decision-making. | — | 5 |
| Senior Director, Field CTO- Capital One Software (Remote) Senior Director, Field CTO for Capital One Software, focusing on the Databolt product. This role acts as the technical face of the product, bridging the gap between the product team and enterprise customers, particularly in regulated industries. Responsibilities include keynoting at industry events, creating technical content, advising global prospects, enabling channel partners, and funneling field insights back to product development. The role requires deep technical expertise in cloud data platforms and infrastructure, strong public-facing communication skills, and experience in data security and compliance. | — | 5 |
| Senior Director, Product Management Product Management leader at Capital One, focusing on internal tooling and best practices to enable company-wide AI and automation. The role involves owning strategy and execution, leading teams, and partnering with leaders to deliver AI-powered services and accelerate innovation. | — | 5 |
| Sr. Director, Product Management - Small Business Experiences & Capabilities (BC&P) This role is for a Sr. Director of Product Management focused on Small Business Experiences & Capabilities within Capital One's Business Cards & Payments team. The role involves leading a team, driving product launches for small business customers, and transforming the Product Management organization by leveraging AI. The candidate should have experience translating business strategy into digital products, leading cross-functional teams, and a demonstrated interest in AI for problem-solving beyond basic text generation. The role requires strong product management fundamentals including human-centered design, business focus, technology drive, integrated problem-solving, and transformational leadership. | — | 5 |
| Senior Manager, Product Management, Self-Service & Data Experiences Product leader to manage a team of Data Analysts focused on evolving platform support into a scalable, AI-enabled, self-service model. The role involves building roadmaps for data analyst support, AI automation, and decentralized governance practices to empower fraud, marketing, and credit models and decisions. | — | 5 |
| Senior Manager, Product Management - HR Products & Data Product Manager for HR Products & Data, focusing on a next-generation Fine-Grain Access Control (FGAC) solution using Attribute-Based Access Control (ABAC) for enterprise HR data. The role involves defining strategy, discovery, and implementation, collaborating with engineering and design, managing product lifecycle for data pipelines, and driving backlog prioritization. The role leverages AI tools for workflow acceleration. | — | 5 |
| Distinguished Engineer Distinguished Engineer role focused on applying AI and advanced technologies to create real-time intelligent risk management products within the financial services domain. The role involves technical leadership, strategy definition, and driving innovation in the developer lifecycle and risk management processes. | Ship | 5 |
| Distinguished Engineer Distinguished Engineer role focused on applying AI and advanced technologies to create real-time intelligent risk management products within the financial services domain. The role involves technical leadership, strategy definition, and driving innovation in the developer lifecycle and risk management processes. | Ship | 5 |
| Senior Associate, Product Manager - Business Cards & Payments Product Manager for Business Cards & Payments at Capital One, with a focus on incorporating AI into personal projects and exploring AI-driven development environments. The role involves human-centered, business-focused, technology-driven, and transformational leadership aspects of product management. | — | 5 |
| Sr. Distinguished Engineer Senior Distinguished Engineer role focused on leading technical initiatives to mature and grow enterprise data consumption platforms, ensuring scalability, operational excellence, performance, and resiliency. Requires expertise in AWS, data platforms like Snowflake and Databricks, and Big Data technologies, with a minimum of 2 years experience in ML and AI technologies. | — | 5 |
| Senior Manager, Product Manager: Capital One Shopping (Remote-Eligible) Product Manager for Capital One Shopping, focusing on leveraging AI for product development and customer experience. The role involves leading engineering teams, defining product vision, and using data to drive strategy, with a strong emphasis on incorporating AI into personal projects and exploring AI-driven tools. | Agent | 5 |
| Business Manager This Business Manager role at Capital One India focuses on credit controls management, leveraging advanced data methodologies, statistics, and machine learning algorithms to improve underwriting standards and defend against policy failures. The role involves partnering with data scientists and engineers, developing new processes to identify weaknesses in credit policy, assessing decision-making systems, and using technologies like Python and R to analyze large datasets. The goal is to enhance credit environment soundness and develop new credit insights within a regulated financial institution. | — | 5 |
| Product Manager: Capital One Shopping (Remote-Eligible) Product Manager for Capital One Shopping, focusing on leveraging AI to drive customer value and revenue. Requires strong data analysis, SQL, and product management skills, with a demonstrated interest in AI technologies and their application. | Ship | 5 |
| Senior Associate, Product Management - Tech and Data Risk Management Product Team Product Manager for Capital One's Tech & Data Risk Management team, focusing on modernizing risk management with technology and leading the development of Generative AI tools to improve efficiency and provide predictive insights. The role involves owning the product lifecycle, leveraging data for strategic insights, and acting as a liaison between risk experts and GRC product teams. | Agent | 5 |
| Manager, Product Management - Enterprise AI/ML Product Manager for an Enterprise AI/ML team focused on safely introducing, scaling, and operationalizing new AI/ML capabilities across the business in a regulated fintech environment. | Ship | 5 |
| Senior Distinguished Data Engineer Senior Distinguished Data Engineer to drive technical strategy for data pipelines leveraged by all lines of business, focusing on innovation, best practices, platform scalability, and operational excellence. Requires deep expertise in AWS, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks, with hands-on coding in Python, SQL, Java, and/or Scala. | — | 5 |
| Director, Data Scientist - External Data Strategy This role is for a Director of Data Science focused on External Data Strategy within Capital One's fintech domain. The position involves leading a team of 10-15 data scientists, building machine learning models and data pipelines, and leveraging technologies like Python, Spark, Databricks, and AWS. The primary focus is on data lifecycle management, from sourcing to feature engineering and model implementation, to understand customer financial lives and drive business decisions. The role requires strong leadership, technical expertise in data science and machine learning, and experience with large-scale data analysis and relational databases. | Data | 5 |
| Senior Data Product Manager Senior Data Product Manager at Capital One, focused on defining and delivering data products and platform features that drive business outcomes in financial services. The role involves collaborating with various teams (Data Science, Analytics, Engineering, Governance) to prioritize and deliver capabilities, ensuring data governance standards are met, and integrating business analytics into product design. The ideal candidate has experience translating business opportunities into Data, ML, and AI products, influencing stakeholders, and understanding UK regulatory landscapes. | — | 5 |
| Sr. Manager, Product Management - Capital One Software (Remote) This role is for a Sr. Manager of Product Management focused on Capital One Software, which offers B2B cloud-native software solutions for data management. The role involves building and scaling these products, with a focus on AI & Data security, analytics, or automation. While the company utilizes AI and the products may incorporate AI features, the core function of this Product Management role is not to build AI models or agents, but to manage the product lifecycle of software solutions. | — | 5 |
| Manager, Process & Risk Management - PULSE Operations This role focuses on process and risk management within a financial services company, specifically within the PULSE Implementations and Certification team. The responsibilities include identifying and documenting risks, acting as a liaison with risk partners, managing remediation efforts, and using data and AI automation to analyze process health and drive enhancements. The role also involves translating risk issues into business cases for product and tech prioritization and developing process documentation. While AI tools are mentioned for analysis and automation, the core function is not AI/ML development but rather risk management and process improvement within a regulated financial environment. | — | 1 |
| Lead Software Engineer, DevOps Lead Software Engineer, DevOps role at Capital One, focusing on building and pioneering technology solutions, particularly in cloud-based environments and leveraging AI tooling to accelerate productivity. The role involves leading a team, collaborating with product managers, and utilizing various cloud services and DevOps tools. | — | 1 |
| Manager, Data Analyst - Credit & Financial Risk Management Manager of Data Analysts focused on Credit & Financial Risk Management within a fintech company. The role involves driving strategy, building and validating models, working with large datasets, and leading a team of analysts. Emphasis on business intelligence and analytical technology. | — | 1 |
| Business Manager - Market and Liquidity Risk Oversight (MLRO) Business Manager role focused on Market and Liquidity Risk Oversight (MLRO) within Capital One's Capital Markets and Treasury groups. The role involves independent risk management, financial market analysis, and strategic thinking related to the firm's balance sheet. It requires strong analytical skills, finance knowledge, and some experience with AI tools for process automation. | — | 1 |
| Manager, Process Management (Finance Tech, Intelligent Foundations & Experiences) This role is for a Process Manager in Finance Tech, supporting the Well Managed Operational Excellence team. The individual will provide risk judgment, develop and deploy innovative solutions to mitigate risks, and create and implement strategies to reduce risk while improving efficiency and control effectiveness. Responsibilities include supporting leadership with documentation and reporting, driving Engineering Operations progress through AI tools, managing enterprise tools for compliance, promoting process automation, and partnering with stakeholders on data governance and performance metrics. The role requires experience in technology project management, process management, or risk management, and continuous improvement methodologies. | — | 1 |
| Sr. Distinguished Engineer, Front End (Angular) This role is for a Sr. Distinguished Engineer focused on front-end web platform architecture and development, with a specific emphasis on AI-native approaches and tooling. The engineer will define technical vision, establish standards, and drive innovation for Capital One's web ecosystem, mentoring teams and influencing engineering excellence across the organization. While AI is mentioned in the context of tooling and delivery workflows, the core craft of the role is front-end engineering and architecture, not direct AI/ML model development. | — | 1 |
| Director, Product Management - Security & Data Intelligence Solutions Director of Product Management for Security & Data Intelligence Solutions at Capital One, focusing on defining and leading the transformation of complex security requirements into scalable, intelligent technology solutions for the Global Payment Network. The role involves advanced Authentication, Fraud Prevention, and Risk Mitigation, while leveraging data to build Value-Added Services. | — | 1 |
| Director, Information Security Officer Director, Information Security Officer responsible for leading end-to-end security for strategic projects within a line of business at a financial services company. This role involves working with business, technology, and risk partners to achieve time-sensitive goals, providing product security advisory services, and advising on strategic initiatives in a risk-based and agile manner. The role requires comfort with modern software, data analytics, artificial intelligence, and cloud technologies, as well as associated protective methods. | — | 1 |
| Head of UK HR Operations and Technology Head of UK HR Operations and Technology role responsible for leading HR operations and technology strategy, driving efficiency through automation and AI-driven solutions, and managing a team of HR professionals. Focuses on employee experience, process improvement, and integrating AI for administrative tasks. | — | 1 |
| Manager, Data Analysis - Retail Bank Manager of Data Analysis for Capital One's Retail Bank, focusing on leveraging analytical skills to drive strategy, build and validate models, and improve operational efficiencies. The role involves working with large datasets, leading a team of analysts, and collaborating across business units to enhance customer experience and product offerings. Requires strong problem-solving, leadership, and BI skills. | — | 1 |
| Sr. Auditor, Consumer Lending This role is for a Senior Auditor in Consumer Lending at Capital One, focusing on operational and compliance audits for US Card and Auto Finance businesses. The role involves performing risk assessments, testing, and leveraging data and analytical tools, including AI, to provide insights and influence business practices. The ideal candidate is a critical thinker with a strong understanding of data, innovation, and technology, and experience in auditing, accounting, financial analysis, risk management, compliance, and data analytics. | — | 1 |
| Manager, Learning Product & Platform Strategy This role focuses on managing the strategy and roadmap for an AI-enabled learning technology platform, maximizing business impact and learner value from vendor tools. It involves bridging learning strategy and execution, ensuring alignment with enterprise priorities, and driving ROI through vendor management, technical integration, and go-to-market launch of new features, with a specific focus on AI enablement. | — | 1 |
| Manager, Data Analysis This role is a Manager, Data Analysis at Capital One, focusing on leveraging analytical skills to drive strategy, build and use models for testing and validation, and work with large datasets. The role involves leading a team of junior analysts, managing projects, and improving operational efficiencies. A strong Business Intelligence background is preferred, along with experience in quantitative fields and programming languages like Python, R, Spark, or SQL. | — | 1 |
| Senior Manager, Data Analysis Senior Manager, Data Analysis role at Capital One, focusing on validating enterprise-wide analytical tools, assessing their quality and risk, and prototyping industry best practices. Requires experience in data analytics, leading open-source data technologies, and people management. The role is within the financial services industry and involves working with data-driven decision-making processes. | — | 1 |
| Manager, Data Analysis -Financial Services Manager of Data Analysis for Financial Services at Capital One, focusing on modernizing compliance testing script management through data analysis, process development, and governance. The role involves working with large datasets, improving operational efficiencies, and leading a team of analysts. | — | 1 |