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 |
|---|---|---|
| Enterprise Payments Governance & Oversight, Principal Associate - Hybrid This role focuses on enterprise payments governance and oversight, defining and implementing future frameworks for payments governance. It involves risk management, monitoring, and leveraging Gen AI and automation to improve risk monitoring processes and operational efficiency within the financial services domain. The role requires collaboration with stakeholders and defining risk management frameworks for payment rails like RTP, ACH, and wire. | — | 5 |
| Enterprise Payments Governance & Oversight Senior Manager - Hybrid This role focuses on leading a team to define and implement enterprise-wide payment risk management frameworks, with a specific emphasis on leveraging Generative AI and automation capabilities to enhance risk monitoring efficiency. The role involves developing and implementing risk assessment strategies, overseeing governance of payment inventories, and leading the responsible implementation of AI and automation in payments. | Agent |
| 5 |
| Enterprise Payments Governance & Oversight Manager - Hybrid Manager role focused on enterprise payments governance and oversight, defining and implementing future strategies. The role involves leading transformation of payments risk management practices, utilizing Gen AI and automation for efficiency, and overseeing risk frameworks for payment rails like RTP, ACH, and wire. It requires strong collaboration with 1st and 2nd Line of Defense teams and a deep understanding of payments and regulatory environments. | — | 5 |
| Distinguished Engineer , Bank Tech (Remote- Eligible) Distinguished Engineer role focused on integrating AI into the software development lifecycle (SDLC) to optimize developer workflow, quality, and reliability within the banking technology sector. The role involves architectural evolution, convergence strategy, and technical leadership to drive innovation and build engineering excellence. | Ship | 5 |
| Senior Lead Software Engineer, Full Stack (Golang, Python, GenAI) (Cloud Operations Resilience Engineering) Senior Lead Software Engineer role focused on Cloud Operations Resilience Engineering, driving enterprise vision for AI-driven systems to automate governance, risk management, and compliance. The role involves designing and implementing intelligent guardrails, leveraging ML for insights, and pioneering modern cloud-native designs. Requires hands-on coding, architecture reviews, and collaboration with data scientists and risk partners. Experience with Golang, Python, and AWS is preferred. | Agent | 5 |
| Sr Director, Software Engineering Senior Director of Software Engineering at Capital One, focusing on leading teams to build and scale mission-critical enterprise platforms for financial products. The role involves modern cloud-native technologies, microservices, and transforming development practices towards AI-native approaches, while also leveraging AI-assisted coding tools. | — | 5 |
| Distinguished Engineer - Card Distinguished Engineer role focused on architecting software and systems for loyalty rewards and benefits, with a strong emphasis on engineering excellence, code contribution, and leveraging AI coding tools to augment software product delivery within the fintech domain. The role involves leading technical vision, mentoring, and ensuring quality and scalability of systems processing high volumes of orders. | — | 5 |
| Lead Data Engineer - Data Transformation (Modeling and Architecture) Lead Data Engineer focused on data transformation, modeling, and architecture within a financial services company. The role involves building and maintaining data models, designing data ecosystems (Data Lake, Data Warehouse), supporting data pipelines with SQL, Spark, and Python, and enforcing data governance. While the role mentions contributing to AI-ready architectures and collaborating with AI/ML teams, its core function is data engineering, not direct AI/ML model development or research. It also mentions leveraging interactive AI tooling for productivity. | — | 5 |
| Principal Associate, Quantitative Analysis This role involves partnering with business lines to enhance modeling and analytical frameworks, creating novel analytical solutions, and identifying opportunities to apply quantitative methods and automation to improve business performance. The role requires applying expertise in econometric, statistical, and machine learning methods to generate insights and provide technical guidance, with a focus on building cloud-based solutions grounded in data. | Data | 5 |
| Senior Manager, Data Scientist -Retail Bank Data Science Experimentation Lead This role leads the Design of Experiments (DoE) and Causal Inference center of excellence within Retail Bank Data Science. The primary focus is on standardizing experimental design, measuring incrementality, and applying causal inference techniques to validate product initiatives and business assumptions before full-scale development. The role involves building experimental infrastructure, consulting on advanced techniques, and partnering with cross-functional teams to deliver data-driven insights for financial products. | — | 5 |
| Software Engineering Manager - Data Engineering (9 Month FTC) Software Engineering Manager for Data Engineering role at Capital One, focusing on leading a team of eight Software Engineers to build and evolve data capabilities within an Enterprise Data Ecosystem. The role involves people leadership, technical direction, product roadmap delivery, and fostering innovation, including advocating for AI developer tooling. Requires experience with data platform technologies (Airflow, Spark, Snowflake) and public cloud (AWS), operating in an Agile and regulated financial services environment. | — | 5 |
| Lead Software Engineer, Full Stack (People Tech) Lead Software Engineer role focused on the digital transformation and operational excellence of Capital One's corporate functions, specifically supporting the Mergers & Acquisitions team. The role involves transforming historical data into actionable insights and developing innovative AI tools and web-based applications using Python, JavaScript, TypeScript, AWS, and AI tooling platforms. The engineer will lead projects, collaborate with leadership, and deliver cloud-based solutions. | — | 5 |
| Manager, Data Science - PULSE Network, Business Intelligence Manager, Data Science role at Capital One focused on Business Intelligence and pricing strategy optimization. The role involves leveraging machine learning models throughout their development lifecycle, from design to implementation, using technologies like Python, AWS, H2O, and Spark. The ideal candidate is innovative, creative, statistically-minded, and proficient with large datasets and relational databases. | Post-train | 5 |
| Principal Data Analyst, Card Tech Workforce Strategy This role focuses on leveraging AI-driven automation tools like Google Apps Script, Gemini, and Claude Code to build self-service analytics tools for workforce strategy and operations within Capital One's Card Tech division. The primary goal is to enhance operational impact and provide sophisticated analytics for a large global workforce. | Data | 5 |
| Principal Associate, Data Scientist - Retail Bank Marketing This role focuses on building and operating machine learning models for retail bank marketing, optimizing marketing spend, product recommendations, and new account value estimation. It involves data and model pipelining, machine learning, and model operations using Python and ML libraries. The role also explores next-generation model architectures like embeddings and sequence models. | Post-train | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and pioneering in the technology space, solving complex business problems, and leveraging data with emerging technologies. The role involves collaborating with Agile teams on full-stack development, working with machine learning and microservices teams, utilizing various programming languages and cloud data warehousing services, and mentoring engineers. The position requires experience in application development, big data technologies, and cloud computing. | — | 5 |
| Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) This role is for a Senior Lead Software Engineer focused on distributed systems, Golang, Python, and Kubernetes within Capital One's Machine Learning Experience Team (MLX Tech). While the team works with AI/ML and Generative AI, the core responsibilities of this specific role are in building and leading the development of platforms and microservices, with an emphasis on distributed systems and cloud infrastructure. The role involves collaboration with product managers, mentoring engineers, and potentially coding, but the primary focus is on the engineering and infrastructure aspects that support AI/ML solutions, rather than directly building or researching AI models themselves. The role mentions leveraging AI tooling for productivity, indicating an adjacent relationship with AI. | — | 5 |
| Distinguished Engineer - Card Partnerships Distinguished Engineer role focused on driving AI-powered development within Capital One's Partnership Card organization, aiming to automate workflows and deliver data-driven customer capabilities. The role involves technical vision, architectural discipline, and mentoring, with a focus on scaling AI adoption for engineering productivity. | Ship | 5 |
| Software Engineering Manager - Data Engineering Software Engineering Manager to lead a team of eight Software Engineers in Nottingham, focusing on building and evolving Data capabilities within Capital One's Cloud-based Enterprise Data Ecosystem. The role involves people leadership, technical excellence, delivering the product roadmap, fostering innovation with AI developer tooling, and forging cross-functional partnerships within a complex, regulated financial services environment. | — | 5 |
| Distinguished Software Engineer - Bank Tech This role focuses on engineering AI-enabled developer workflows and CI/CD pipelines to optimize pipeline performance and improve developer productivity within a large enterprise banking environment. The engineer will architect and operationalize high-scale platform tools and decisioning engines, working with distributed microservices and foundation models. | Serve | 5 |
| Data Annotator The Emerging Technologies Enablement Team (ETE) performs data labeling tasks that support machine learning model and AI development within the Tech organization and across Capital One. This team plays a critical role in reviewing, evaluating, and annotating data to train AI models with the highest quality, accuracy, relevance, fluency, and compliance standards. | Data | 5 |
| Principal Associate Data Scientist, Machine Learning This role focuses on building, deploying, and maintaining machine learning models, including Gradient Boosting Machines and Neural Networks, within a financial services context. The data scientist will also develop and optimize model development pipelines, design experiments, and investigate new technologies. Experience with Python, SQL, version control, and ML frameworks is required, with preferred qualifications including cloud platforms, advanced Git, CI/CD, experimental design, and AI agent usage. | Serve | 5 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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, 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 |
| 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 |
| 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, Ontology and 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, defining roadmaps, and ensuring adherence to W3C standards. | — | 1 |
| Senior Manager, Data Analysis (People Leader) This role is for a Senior Manager of Data Analysis at Capital One, focusing on validating enterprise-wide analytical tools and frameworks. The manager will lead a team, assess risks, prototype best practices, and communicate findings. The role requires strong leadership, problem-solving, and experience with data analytics and open-source technologies, particularly within the financial services industry. | — | 1 |
| Senior Staff Software Engineer Senior Staff Software Engineer role focused on designing and implementing technology solutions aligned with business goals, including AI products, within a regulated financial services environment. Responsibilities include architectural design, technology evaluation, leading design reviews, and mentoring teams on best practices. The role emphasizes collaboration with stakeholders and adherence to architectural and security standards. | — | 0 |