Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Banking · Banking
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 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 |
|---|---|---|
| Senior Manager, Data Scientist - Applied AI Senior Manager, Data Scientist - Applied AI role at Capital One, focusing on building and shipping Gen AI models for the US Card business. The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch, AWS, Hugging Face, LangChain, and VectorDBs. Responsibilities include adapting and fine-tuning LLMs for customer-facing applications, building Gen AI and Sequence models through all development phases, and operationalizing them in production systems serving over 80 million customers. The ideal candidate is customer-focused, innovative, creative, a leader, technical with hands-on LLM experience, and influential. Experience in training language models, computer vision models, and subdomains like self-supervised learning, explainability, and RLHF is desired, along with an engineering mindset for delivering models at scale. | ShipPost-train |
| 9 |
| 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 - Card Payment Fraud Prevention Manager, Data Scientist focused on Card Payment Fraud Prevention. The role involves building and deploying machine learning models for fraud detection across billions of transactions. It emphasizes traditional ML development with some exposure to GenAI, production deployment, model risk management, and regulatory compliance within a fintech domain. The role requires leading a team and collaborating with cross-functional partners. | ShipPost-train | 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 |
| Manager, Product Manager, AI Acceleration Product Manager for the AI Acceleration team at Capital One, responsible for leading cross-functional teams through the entire product lifecycle to deliver customer-facing AI solutions. Requires a blend of product-centric thinking, technical understanding of language models and Generative AI, and leadership skills to drive organizational alignment. | 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 |
| Manager, Product Management Product Management role focused on AI/ML Model Governance within the Machine Learning Experience (MLX) team at Capital One India. The role involves developing product vision and strategy, understanding needs of data scientists and ML engineers, partnering with leadership, and managing product backlogs in an Agile environment. Experience in building Enterprise AI/ML platform products or AI/ML powered products for enterprises is required. | Ship | 7 |
| Principal Associate, Data Science This role is in Model Risk Management for Retail Banking, focusing on independent validation and technical challenge of state-of-the-art models, including ML and Generative AI, for domains like Fraud, Deposits, and Generative AI. The role involves partnering with developers, building tools for model evaluation, and communicating complex findings. It requires strong statistical and ML knowledge, experience with Python/R, and ideally, experience in financial services, Fraud, or Generative AI. | ShipEval Gate | 7 |
| Manager, Product Management Product Management role focused on AI/ML Model Governance within the Machine Learning Experience (MLX) team at Capital One India. The role involves developing product strategy, understanding needs of data scientists and ML engineers, partnering with leadership, and managing product backlogs for enterprise AI/ML platform products, with a focus on responsible GenAI and ML model deployment. | Ship | 7 |
| Manager, Data Scientist - US Card DFS Acquisitions Manager, Data Scientist role focused on building and deploying machine learning models for credit card customer acquisitions in the fintech domain. The role involves the full model lifecycle, from design and training to evaluation, validation, and implementation, with a focus on delivering customer-facing products. | ShipPost-train | 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 architecting and productionizing intelligent systems for Capital One Travel's luxury market. The role involves designing, building, and delivering ML models and components, informing ML infrastructure decisions, writing and testing application code, automating tests and deployment, and leveraging cloud-based architectures to deliver optimized ML models at scale. Responsibilities include retraining, maintaining, and monitoring models in production, constructing data pipelines, and ensuring adherence to CI/CD, Responsible AI, and Explainable AI best 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 |
| Senior Lead Machine Learning Engineer Senior Lead Machine Learning Engineer role 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 tests and deployment, and maintaining models in production using cloud-based architectures and CI/CD best practices. The role also involves constructing data pipelines and ensuring responsible AI practices. | Ship | 7 |
| Senior Associate, Data Scientist - Anti-Money Laundering Senior Associate Data Scientist role focused on developing and deploying machine learning models for Anti-Money Laundering (AML) detection within a financial services company. The role involves end-to-end model development, including data sourcing, training, evaluation, validation, and implementation, utilizing tools like Python, AWS, and Spark. The primary output is a productionized AI/ML system for risk management. | ShipServe | 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 |
| 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 |
| 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 |
| Principal Associate, Data Science - US Card This role focuses on developing and implementing machine learning models for credit outcomes forecasting within the US Card Intelligence Segments organization. It involves applying explainability techniques, creating AI-model-based decisioning frameworks in a regulated industry, and collaborating with cross-functional teams. The ideal candidate has strong data analysis, statistical modeling, and machine learning experience, with a preference for applied research and explainability. | 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 - Financial Services Data Scientist role focused on building machine learning models for financial services applications like customer lifetime valuation, product recommendation, and fraud detection, with a specific mention of Generative AI. The role involves the full ML lifecycle from design to implementation and requires experience with Python, SQL, AWS, and various ML techniques. | ShipPost-train | 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 |
| Senior Manager, Data Science - Model Risk Office Senior Manager role focused on Model Risk Office within Capital One, leading teams to identify and quantify risks associated with models, challenge production models, and contribute to model governance. The role involves leveraging data science, machine learning, and various technologies to ensure better decision-making and defend against model failures in a financial services context. | 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 |
| Manager, Data Scientist - Emerging Payments & Airkey Manager, Data Scientist role at Capital One focused on Emerging Payments & Airkey. The team builds ML models for customer-facing payment experiences, processing large-scale financial data using technologies like XGBoost, transformers, embeddings, and LLMs. The role involves building ML models from design through production for millions of customers, partnering with cross-functional teams, and leveraging various technologies like SQL, Python, AWS, and Spark. | ShipPost-train | 7 |