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 26% 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 |
|---|---|---|
| Director, Data Scientist Director of Data Science for the Generative AI Systems team at Capital One, focusing on building and delivering state-of-the-art generative AI solutions for internal efficiency and customer-facing applications. The role involves leading a team of NLP, speech, and computer vision specialists, experimenting with emerging generative AI technologies, and contributing to research. | ShipPost-train | 8 |
| Senior Manager, Data Scientist - US Card (Generative AI Systems) Senior Manager, Data Scientist for the Generative AI Systems (Genesis) team within Capital One's US Card division. This role focuses on building and delivering state-of-the-art generative AI-based solutions for various applications including dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series modeling. The goal is to enhance both internal business efficiency and customer-facing experiences. The role involves partnering with cross-functional teams, leveraging a broad tech stack, and building ML models through all phases of development. |
| ShipPost-train |
| 8 |
| Sr. Lead Machine Learning Engineer Senior Lead Machine Learning Engineer role focused on productionizing ML applications and systems at scale within a fintech company. Responsibilities include designing, building, and delivering ML models, informing ML infrastructure decisions, writing and testing code, automating tests and deployment, retraining/maintaining/monitoring production models, leveraging cloud architectures, constructing data pipelines, and ensuring responsible AI practices. The role emphasizes scaling ML solutions and integrating them into production environments. | ShipServe | 7 |
| Principal Associate, Data Science - Model Risk Office This role is in Capital One's Model Risk Office, focusing on defending the company against model failures and improving decision-making through models. The Principal Associate, Data Science will partner with cross-functional teams to identify and quantify model risks, lead teams of data scientists in building ML models to challenge existing production models, and contribute to the model governance framework. The role also involves leading model validation across various business domains and presenting identified risks to executives. The ideal candidate is innovative, creative, a leader, technical, and statistically-minded, with experience in model building, validation, and backtesting. | Ship | 7 |
| Machine Learning Engineer (AI Foundations) Machine Learning Engineer focused on productionizing AI/ML applications and systems at scale within a fintech company. The role involves designing, building, and delivering ML models and components, informing ML infrastructure decisions, writing and testing application code, and collaborating in an Agile team. Responsibilities include retraining, maintaining, and monitoring models in production, leveraging cloud-based architectures, constructing data pipelines, and ensuring CI/CD best practices, code security, and responsible AI. Basic qualifications include a Bachelor's degree and experience in data-intensive solutions and programming. Preferred qualifications include cloud experience, open-source contributions, and building production-ready data pipelines. | ShipServe | 7 |
| Manager, Data Scientist, Travel Intelligence, Flights Manager, Data Scientist for Capital One Travel's Flights domain, focusing on building in-house machine learning solutions to create personalized and seamless customer experiences. The role involves end-to-end technical strategy, model development, and leveraging large datasets for fintech product innovation in the travel space. | ShipServe | 7 |
| Manager, Data Scientist - Innovation Hub Manager of Data Scientists focused on designing and deploying generative AI and AI-powered capabilities within a financial services company. The role involves building ML models through all development phases, leveraging various technologies, and translating complex work into business goals. It emphasizes innovation, creativity, leadership, and technical expertise in data science and machine learning. | ShipPost-train | 7 |
| Senior Associate, Product Manager, Card Intelligence Product Manager role focused on leveraging Machine Learning and Generative AI within the Card Intelligence division to build products for fraud prevention, aiming to reduce time-to-market for ML models and improve customer lifecycle management. | Ship | 7 |
| Senior Manager, Data Science - Model Risk Office Senior Manager, Data Science for Capital One's Model Risk Office, focusing on evaluating risk for Card Fraud models. The role involves building challenger models using advanced algorithms and providing mentorship. This is a management role within a fintech domain, focused on the application and risk assessment of AI/ML models in a production environment. | ShipPost-train | 7 |
| Senior Manager, Product Manager, AI Acceleration Product Manager role focused on AI Acceleration within Capital One, leading cross-functional teams to deliver customer-facing AI solutions. The role involves shaping product strategy, working with engineers and data scientists, and understanding language models and generative AI to improve customer and associate experiences. It requires blending human-centered needs with technical understanding of LLMs and designing AI agents. | ShipAgent | 7 |
| Manager, Data Science - Model Risk Office Manager for a Model Validation team within the Model Risk Office, responsible for validating payment network business models (fraud, AML, counterparty risk, financial models) in accordance with regulatory guidance and internal policies. The role involves assessing statistical and machine learning models, communicating technical concepts to diverse stakeholders, and leveraging open-source technologies for continuous improvement. | Ship | 7 |
| Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible Banking Compliance Senior Director of Data Science to lead the Fair Lending Analytics group within Capital One's Compliance and Ethics Department. This role involves leading a team of data scientists and analysts to identify and mitigate fair lending and compliance risks, conduct data analyses of lending decisions, and provide guidance on business activities. The position requires strong leadership, technical expertise in data science and machine learning, and experience in developing and implementing fair lending and responsible data use processes, particularly in the context of AI in credit. | ShipPost-train | 7 |
| Director Product Management (AI and Automation) Product Management Director focused on AI and Automation within Capital One's Finance ecosystem. The role involves identifying and launching AI features, designing automated workflows, managing the model lifecycle, ensuring responsible AI innovation with guardrails, and using AI metrics for iteration. The goal is to transition Finance from manual processes to automated, scalable solutions. | ShipAgent | 7 |
| Senior Manager, Data Science - Model Risk Office Senior Manager for Model Risk Office at Capital One, focusing on identifying and quantifying risks associated with models, including Generative AI. The role involves building ML models to challenge existing production models and contributing to the governance framework for future models. It requires validating models across various business domains and communicating risks to executives. The ideal candidate is innovative, creative, a leader, technically proficient, statistically minded, and skilled in handling large datasets. | ShipPost-train | 7 |
| Senior Lead Machine Learning Engineer Senior Lead Machine Learning Engineer at Capital One, focused on productionizing ML applications and systems at scale within a fintech domain. Responsibilities include designing, building, and delivering ML models, optimizing ML infrastructure, writing and testing code, automating deployment, and maintaining models in production. The role involves leveraging cloud platforms, constructing data pipelines, and ensuring responsible AI practices. | ShipServe | 7 |
| Lead Machine Learning Engineer Lead Machine Learning Engineer at Capital One, focused on productionizing ML applications and systems at scale within an Agile team. Responsibilities include designing, building, and delivering ML models, informing infrastructure decisions, writing and testing code, automating tests and deployment, retraining/maintaining/monitoring production models, leveraging cloud architectures, constructing data pipelines, and ensuring code quality, model governance, and adherence to Responsible and Explainable AI best practices. | Ship | 7 |
| Senior Manager, Machine Learning Engineering Senior Manager, Machine Learning Engineering at Capital One, focused on productionizing ML applications and systems at scale within a fintech domain. The role involves designing, building, and delivering ML models, managing ML infrastructure, optimizing data pipelines, and ensuring the performance and availability of ML applications in production. It requires people management experience and collaboration with cross-functional Agile teams. | ShipServe | 7 |
| Director, Software Engineer - Card Tech AI Seeking a Director of Software Engineering to lead a team in redefining software development speed and quality using AI-native workflows and agentic development tools. The role involves a 'Player-Coach' approach, shipping production-ready code, mentoring engineers, and ensuring AI-generated output is flawless, secure, and scalable. | Ship | 7 |
| Director, Software Engineer - Card Tech AI Seeking a Director of Software Engineering to lead a team in redefining software development speed and quality using AI-native workflows and agentic development tools. The role involves a 'Player-Coach' approach, shipping production-ready code, mentoring engineers, and ensuring AI-generated output is flawless, secure, and scalable. | Ship | 7 |
| Manager, Data Scientist Manager, Data Scientist role focused on model risk management within a fintech company. The role involves partnering with cross-functional teams to identify and quantify model risks, building ML models to challenge existing production models, contributing to model governance, and validating various models. Requires strong statistical and data science skills, experience with ML, and open-source tools. | ShipPost-train | 7 |
| Manager, Data Scientist - Business Cards & Payments Capital One is seeking a Manager, Data Scientist to lead the development of industry-leading machine learning models for credit underwriting decisions within the Business Cards & Payments team. This role involves full-spectrum modeling solutions across customer lifecycles, collaborating with cross-functional teams, and leveraging technologies like Python, AWS, H2O, and Spark to analyze large datasets and implement models. The ideal candidate has a strong statistical background, hands-on experience with ML model development, and a customer-first approach. | Ship | 7 |
| Distinguished Engineer (Remote - Eligible) Distinguished Engineer role focused on architecting and building AI-driven risk management products within the financial sector. This is a hands-on technical leadership position requiring deep expertise in software engineering, solution architecture, cloud computing, and data architecture, with a strong emphasis on applying AI/ML to solve complex problems and drive innovation in the developer lifecycle and risk management. | Ship | 7 |
| Sr. Director, Machine Learning Engineering (Remote-Eligible) Sr. Director, Machine Learning Engineering to lead and scale a high-performing engineering organization responsible for the Personalization Platform. This role defines technical strategy, delivery roadmap, and operating model for recommendation systems, ranking, decisioning, GenAI infrastructure, MLOps, and low-latency serving systems. Responsibilities include building and developing engineers, partnering cross-functionally, driving ML infrastructure and pipelines, architecting low-latency systems, evolving MLOps, guiding AI/LLM optimization, and providing technical and people leadership. | ShipServe | 7 |
| Principal Associate, Data Scientist - US Card (Generative AI Systems) This role is for a Principal Associate Data Scientist on the Generative AI Systems (Genesis) team within Capital One's Card Data Science division. The team builds state-of-the-art generative AI solutions for various applications including dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series sequencing. The role involves partnering with cross-functional teams to deliver customer-facing and internal applications, leveraging technologies like Python, AWS, and Spark, and building machine learning models through all phases of development. The ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and adept at handling large datasets. | ShipPost-train | 7 |
| Sr. Distinguished Machine Learning Engineer Senior Distinguished Machine Learning Engineer role focused on technical leadership for productionizing ML applications and systems at scale within the financial services industry. The role involves driving the creation and evolution of ML models and software, leveraging cloud architectures, optimizing data pipelines, and mentoring other engineers. Requires extensive experience in data-intensive solutions, ML development lifecycle, and programming. | ShipServe | 7 |
| Manager, Data Scientist - Model Risk Office Manager of Data Scientists within the Model Risk Office, focusing on validating and building statistical or machine learning models, including those with unique risks associated with Generative AI. The role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and translating complex work into business goals. The ideal candidate is creative, a leader, statistically-minded, and a data guru. | ShipPost-train | 7 |
| Sr. Distinguished Engineer Senior Distinguished Engineer role focused on technical leadership for productionizing machine learning applications and systems at scale within the financial services industry. The role involves driving the creation and evolution of ML models and software, leveraging cloud architectures, optimizing data pipelines, and mentoring engineers. Requires extensive experience in data-intensive solutions and the ML development lifecycle. | ShipServe | 7 |
| Senior Associate, Data Scientist - Model Risk Office This role is in Capital One's Model Risk Office, focusing on identifying and quantifying risks associated with models, including Generative AI. The Senior Associate Data Scientist will build machine learning models to challenge existing production models, contribute to model governance, and validate models across various business domains. They will leverage technologies like PyTorch, Hugging Face, LangChain, Vector Databases, and LLMOps to analyze multi-modal data and present findings to executives. | ShipAgent | 7 |
| Manager, Data Scientist - Model Risk Office This role is within Capital One's Model Risk Office, focusing on identifying and quantifying risks associated with models, including Generative AI. The Data Scientist will build machine learning models to challenge existing production models and contribute to the model governance framework. They will validate models across various business domains and present findings to executives. The role requires experience with ML, data analysis, and databases, with a preference for GenAI and model validation experience. | ShipPost-train | 7 |
| Senior Director, Technical Program Management -Ai/ML (Remote Eligible) Senior Director, Technical Program Management to lead programs for Capital One's next-generation Generative AI platform and tools, serving as the backbone for the company's AI Information strategy. This role will drive the adoption of AI and Machine Learning across business lines to deliver high-reliability, real-time customer experiences. The position also involves growing and developing a team of TPMs and establishing the TPM discipline within the team. | Ship | 5 |
| Senior Manager, Product Management - Core Platform | Capital One Travel Senior Technical Product Manager to own the technical roadmap for the Capital One Travel Core Platform Team, focusing on building foundational tooling for AI-driven front-end development, component library centralization, and modernization of testing, deployment, and observability. The role requires a former engineer who can drive a technical mandate into a roadmap and shipped results in an AI-first environment, actively using AI tools. | Ship | 5 |
| Business Director, Card Technology Analytics This role leads an analytics organization focused on measuring and optimizing software development processes, including the utilization and impact of AI developer tools. The goal is to provide data insights for strategic engineering outcomes and enhance developer productivity and experience. | Ship | 5 |
| Card Risk Senior Manager - Platform Development Senior Manager for Card Risk Platform Development at Capital One, focusing on mitigating risks in fintech, particularly for AI initiatives. The role involves developing and implementing risk management practices, leading change governance, and collaborating with cross-functional teams to ensure the security and stability of modernized tech platforms. | Ship | 5 |
| Manager, Data Scientist - Card Intelligence Model Risk Management Manager, Data Scientist role focused on Card Intelligence Model Risk Management within a fintech company. The role involves building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, and partnering with cross-functional teams. It emphasizes statistical modeling, data analysis, and applying emerging technologies to financial products. | ShipPost-train | 5 |
| Sr. Distinguished Engineer - Global Payment Network (Remote Eligible) Sr. Distinguished Engineer focused on the Global Payment Network, leveraging modern AI tools and AI-native engineering to deliver technical solutions, optimize business outcomes, and drive innovation in a high-volume, low-latency, and highly resilient distributed ecosystem. The role involves articulating technical vision, proposing solutions, partnering with leaders, accelerating agentic AI adoption, elevating technical design, and serving as an authoritative expert on system characteristics. | Ship | 5 |
| Senior Distinguished Engineer - Card Partnerships (Remote-Eligible) Senior Distinguished Engineer role focused on driving AI-powered development and innovation within Capital One's Card Partnerships organization, aiming to enhance credit experiences and automate complex workflows. The role emphasizes technical leadership, architectural discipline, and an AI-first approach to business growth. | Ship | 5 |
| Manager, Data Scientist, Travel Intelligence, Hotels Manager, Data Scientist for Capital One Travel's Hotels domain, focusing on Search & Sort and Pricing Optimization. This role involves owning the end-to-end technical strategy, transitioning from offline models to real-time ML solutions, and architecting customer-facing systems. It requires partnering with cross-functional teams and leveraging a broad technology stack to deliver personalized customer experiences. | Ship | 5 |
| Distinguished Engineer Distinguished Engineer role focused on defining and implementing the multi-year reliability roadmap and target architectural state for the product portfolio, with a strong emphasis on leveraging Generative AI to enhance automation, code quality, and operational workflows, aiming for autonomous operations and predictive reliability within an enterprise AI context. | Ship | 5 |
| Senior Product Manager, AI & Developer Productivity Data Strategy Product Manager role focused on measuring and accelerating developer productivity, specifically defining metrics and data products for AI coding tools and their impact on the software development lifecycle within a large enterprise. The role involves defining measurement frameworks for AI risk, utilization, and impact, and turning telemetry into actionable insights. | Ship | 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 |
| 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 |
| Senior Director, Product Management-Payments Intelligence Senior Director of Product Management for Capital One's Payments Intelligence team, focusing on leveraging transaction data to power consumer experiences, improve engagement, and predict spending. The role involves building AI/ML capabilities into features, managing platform development, and exploring new areas like agentic commerce. This is a leadership role within a high-rated platform serving critical use cases across the business. | Ship | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |