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 |
|---|---|---|
| Distinguished Engineer - Card Technology Distinguished Engineer role focused on leading the Fraud and Disputes ecosystem, defenses, and user experiences within Capital One's Card Technology division. The role involves partnering with stakeholders to build scalable and resilient solutions, standardizing capabilities for intelligent decision-making against emerging threats, and defining the vision for integrated defenses. It emphasizes cloud-native solutions and leveraging modern technologies, including AI coding tools. | — | 5 |
| Senior Quantitative Analyst - Global Finance This role focuses on quantitative analysis and modeling within Capital Markets & Analytics, applying machine learning and statistical methods to financial problems like derivatives and fixed income. It involves developing and enhancing analytical frameworks, creating novel solutions, and collaborating on cloud-based data solutions. The position requires expertise in quantitative methods, programming (Python/R/SQL), and communicating complex results. | Data |
| 5 |
| Distinguished Engineer - Autonomous Deployments Distinguished Engineer role focused on transforming the software delivery value chain using AI/ML for continuous deployment, intelligent automation, predictive testing, and deployment risk assessment within a regulated enterprise ecosystem. The role involves architectural vision, platform leadership, hands-on contribution, and enterprise alignment. | Serve | 5 |
| Sr. Distinguished Engineer, Acquisitions Platform & SRE Foundations This role is for a Sr. Distinguished Engineer at Capital One, focusing on the Acquisitions Platform & SRE Foundations. The engineer will lead a large team, set technical strategy, and drive innovation in areas like real-time credit decisioning, dynamic offers, and predictive models. A key aspect is arming cross-functional partners with GenAI tools and experimentation frameworks to enable self-service product delivery, aiming to increase card placements. The role involves hands-on coding, decommissioning legacy systems, and establishing an SRE function. While AI/ML is used to enhance credit decisioning and product placement, the core function is platform engineering and SRE for a financial product. | — | 5 |
| Sr. Distinguished Engineer, Card Acquisitions & Growth Platforms Sr. Distinguished Engineer at Capital One focused on Card Acquisitions & Growth Platforms. This role involves leading a large engineering organization (300+ engineers) to set and deliver the technical agenda for foundational platforms. Key responsibilities include making credit decisioning real-time and intelligent, driving innovation with GenAI tools, datasets, and experimentation frameworks, and owning the customer acquisitions data ecosystem. The role requires hands-on full-stack coding and leading the strategy for decommissioning legacy systems and scaling an SRE function. While not a pure architecture role, it involves devising practical solutions, optimizing business outcomes, and mentoring talent. | Agent | 5 |
| Lead Software Engineer, Back End (Kubernetes, Golang, Foundation Model Gateways) Lead Software Engineer responsible for building applications in Golang and Kubernetes, specifically focusing on Foundation Model gateways for LLM inference calls within a fintech company. The role involves leading a team and contributing to cloud-based solutions. | Serve | 5 |
| Senior Manager, Product Management, Enterprise AI/ML Product Manager for an Enterprise AI/ML platform team at Capital One, focusing on building and scaling AI capabilities, managing distributed compute, control plane operations, and cost management. The role requires a technical product leader to define and shape platforms and tools for data scientists and ML engineers, ensuring governance, security, and resiliency. | Ship | 5 |
| Data Analysis Manager - Enterprise Consumer Products This role is for a Data Analysis Manager in Enterprise Consumer Products at Capital One. The manager will drive strategy, build and use models for data testing, work with large datasets, and lead a team of junior analysts. The role emphasizes analytics, data-driven decision-making, and improving operational efficiencies. While not directly building AI models, the role involves using AI tools and building AI workflows, indicating an AI-adjacent function. | — | 5 |
| Manager, Product Management - Data Integrations & ERP Modernization (Business Cards & Payments) Product Manager role focused on data integrations and ERP modernization within the Business Cards & Payments organization at Capital One. The role involves developing strategy for how business owners connect their ERP software to Capital One, leading ERP data innovation, and collaborating with partners to use data and AI for customer value and growth. While not directly building AI models, the role encourages and values candidates who have explored AI tools and built automations using AI agents. | — | 5 |
| Manager, Product Management - Product Analytics Product Manager for Marketing Data team, focusing on enterprise standard for customer interaction data. Will own Google Analytics ecosystem, translate clickstream data into business intelligence, and lead strategy for integrating AI into self-service tooling to empower Product Managers with behavioral insights and customer journey illumination. | — | 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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, 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |