Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Banking · Banking
Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
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 |
|---|---|---|
| Principal Associate, Data Scientist - Model Risk Office This role is within Capital One's Model Risk Office, specifically supporting the Card Fraud Model Risk team. The primary responsibility is to evaluate model risk associated with fraud models across the customer lifecycle by performing rigorous assessments and building independent challenger models. The role involves building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, and leveraging technologies like Python, AWS, and Spark. | Post-trainServe | 7 |
| Manager, Data Science - Consumer Identity Machine Learning Manager of Data Science for Consumer Identity Machine Learning team within Capital One's AI foundation organization. The role focuses on delivering real-time, personalized customer experiences by building and operationalizing machine learning models that use vast amounts of customer data to anticipate needs, fight fraud, and improve digital experiences. The role involves working across the data science lifecycle, from design and training to evaluation and production deployment, partnering with product and engineering teams to serve over 50 million customers. |
| Post-trainServe |
| 7 |
| Director, Product Management- Enterprise AI Director of Product Management for Enterprise AI, focusing on establishing a unified approach to AI within the Associate Experience (AX) tooling. The role involves building trust, maximizing ROI, preventing silos, and empowering associates. Key responsibilities include defining the AI roadmap, leading product execution for AI agents, driving user enablement, and ensuring cross-functional alignment. The role requires blending product execution with strategic vision for seamless, agentic experiences. | Agent | 7 |
| Sr. Director, Cyber Technical (Cyber Hunt, Logging and Threat Detection) Senior Director role responsible for threat detection, cyber logging, privacy breach reporting, and threat hunting, with a focus on driving AI strategy for the cyber detection lifecycle and integrating AI/ML models for advanced threat detection and log management. | Serve | 7 |
| Manager, Data Science - Emerging ML Capital One's Emerging ML team is seeking a Manager, Data Science to conduct research and development in AI, focusing on embeddings and foundation models. The role involves building machine learning models from design through production, partnering with product and engineering teams, and analyzing large-scale customer data using tools like Spark and AWS. The ideal candidate is curious, technical, statistically-minded, and customer-oriented, with hands-on experience in data science lifecycle and open-source tools. | Post-trainServe | 7 |
| Principal Associate, Data Science - US Card Fraud Authentication Team Data Scientist role focused on building and implementing machine learning models for fraud detection and authentication within the US Card Fraud Authentication team. The role involves analyzing complex datasets, optimizing authentication decisioning, and staying ahead of evolving fraud patterns using a modern tech stack including Python, AWS, Spark, H2O, and SQL. | Post-trainData | 7 |
| Senior Manager, Data Science - Quantum Computing Research (Remote-Eligible) This role is for a Senior Manager of Data Science focused on Quantum Computing Research within financial services. The candidate will define and execute a research roadmap for quantum algorithms and applications, collaborate with hardware vendors, and publish findings. The role emphasizes exploring the intersection of quantum computing and AI for financial challenges. | Pretrain | 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 |
| Principal Associate, Data Scientist - US Card DFS Acquisitions This role focuses on building and deploying machine learning models for credit card customer acquisitions within the fintech domain. The data scientist will own the full model lifecycle, from design and training to evaluation, validation, implementation, monitoring, and governance. The role involves leveraging Python, AWS, Spark, and H2O to analyze large datasets and develop models for underwriting decisions. | Post-train | 7 |
| Manager, Data Science - LLM Customization Team Capital One is seeking a Manager, Data Science to lead the LLM Customization team, focusing on bringing LLMs and GenAI to life within the company. The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch, Hugging Face, and LangChain, and specializing in NLP for LLM adaptation and fine-tuning. Responsibilities include building NLP models through development, training, evaluation, and validation, and operationalizing them in production systems. The ideal candidate is innovative, creative, technical, and influential, with experience in training language models, large computer vision models, and delivering models at scale. | Post-trainServe | 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 |
| Lead Machine Learning Engineer Lead Machine Learning Engineer at Capital One focused on productionizing ML applications and systems at scale. Responsibilities include designing, building, and delivering ML models, informing ML infrastructure decisions, writing and testing application code, collaborating with Agile teams, retraining/maintaining/monitoring models in production, leveraging cloud architectures, constructing data pipelines, and ensuring CI/CD best practices. The role emphasizes building, scaling, and optimizing ML systems, with experience in Python/Scala/Java and distributed computing. | Serve | 7 |
| Senior Manager, Information Security Office (AI) Consultant This role focuses on ensuring the security of AI/ML and agentic AI solutions within Capital One's AIML Division. The Senior Manager will lead the development of secure AI/ML and agentic AI solutions, establish AI-First SDLC practices, design security controls, conduct threat modeling, define guardrails, and advise leadership on AI cybersecurity risks and strategy. | Agent | 7 |
| Manager, Data Science - AI for Data Manager of Data Science focused on AI for Data within a financial services company. The role involves partnering with cross-functional teams to deliver AI-enabled features across the data lifecycle, building machine learning models from design through implementation, and leveraging technologies like Python, Spark, and AWS. Experience with NLP, Information Retrieval, Search, Recommendations, and LLM fine-tuning is preferred. | ServePost-train | 7 |
| Principal Associate, Data Scientist - People Strategy & Analytics Data Scientist role focused on applying AI/ML to talent strategy and HR analytics. Responsibilities include building NLP and ML models, using LLMs via prompt engineering and RAG, and partnering with cross-functional teams to deliver HR tools and AI-powered products. Requires experience with Python, SQL, AWS, and ML/AI tools like Hugging Face, VectorDBs, and PyTorch/TensorFlow. | AgentPost-train | 7 |
| Lead Machine Learning Engineer (Enterprise Platforms Technology) Lead Machine Learning Engineer responsible for productionizing ML applications and systems at scale, including designing, building, and delivering ML models, optimizing ML infrastructure, developing data pipelines, and maintaining models in production within a cloud-based environment. The role emphasizes engineering best practices for ML systems. | ServeData | 7 |
| Lead Machine Learning Engineer (Enterprise Platforms Technology) Lead Machine Learning Engineer focused on productionizing ML applications and systems at scale within an enterprise environment. Responsibilities include designing, building, and delivering ML models, optimizing ML infrastructure, writing and testing application code, automating tests and deployment, and maintaining models in production using cloud-based architectures and CI/CD best practices. | Serve | 7 |
| Distinguished Engineer Distinguished Engineer role focused on architecting and leading the evolution of content generation, storage, and retrieval platforms at scale, integrating AI to empower marketers within a regulated fintech environment. The role involves defining technical direction, prototyping, and collaborating with product and AI teams, with a strong emphasis on LLM systems, RAG, and prompt tooling. | Agent | 7 |
| Business Manager This Business Manager role at Capital One India focuses on modernizing Anti-Money Laundering (AML) processes using advanced analytics, data science, and machine learning models. The team develops data sourcing, predictive models, monitoring, and reporting solutions, with responsibilities including strategic leadership, execution of business requirements, partnership with various departments, and a strong analytical orientation. The role requires experience in quantitative fields, analytics, and ideally econometric/statistical techniques and model development, with a focus on risk management and financial services. | AgentServe | 7 |
| Principal Data Scientist Capital One is seeking a Principal Data Scientist to build and implement machine learning models for real-time credit underwriting decisions within their Business Card & Payments team. The role involves leveraging Python, AWS, and Spark to develop models from design through implementation, working with large datasets, and translating complex work into business goals. Experience with classification, sentiment analysis, time series, and deep learning is expected. | Post-trainServe | 7 |
| Lead Software Engineer Lead Software Engineer to build an AI-powered marketing content layer, integrating LLMs into content generation, channel-specific builds, and AI-assisted compliance workflows. The role involves developing multi-agent orchestration systems for content review and dispatch, building evaluation and observability tooling for LLM outputs, and defining guardrail frameworks. | AgentPost-train | 7 |
| Senior Associate, Data Scientist Data Scientist role focused on modernizing loss forecasting and data transformation within Capital One's credit risk management team. The role involves building statistical/machine learning models to challenge existing production models, contributing to model governance, and presenting model risks to executives. Requires experience with Python, AWS, Spark, and machine learning, with a strong statistical background and ability to handle large datasets. | Post-train | 7 |
| Distinguished Engineer (Messaging & Marketing Technology) Distinguished Engineer role focused on architecting and leading the end-to-end execution of AI applications, specifically an agentic orchestration system for marketing technology. The role involves scaling from MVP to a sophisticated system, leveraging a diverse data ecosystem including vector stores, and driving engineering excellence with Gen AI coding tools. | Agent | 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 |
| Lead Software Engineer, Full Stack (Enterprise Platforms Technology) Lead Software Engineer to build an AI-powered marketing content layer, integrating LLMs into content generation, channel-specific builds, and AI-assisted compliance workflows. The role involves developing multi-agent orchestration systems for content review and dispatch, and building evaluation/observability tooling for LLM outputs. | AgentEval Gate | 7 |
| Distinguished Engineer (Messaging & Marketing Technology) Distinguished Engineer role focused on architecting and leading the end-to-end execution of AI applications, specifically an agentic orchestration system for marketing technology. The role involves scaling from MVP to a sophisticated system, leveraging a diverse data ecosystem including vector stores, and driving engineering excellence with Gen AI coding tools. | Agent | 7 |
| Senior Manager, Data Science - Financial Services Senior Manager, Data Science role at Capital One focused on building Generative AI models and products for financial services. The role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and working across the full development lifecycle from design to monitoring. Emphasis on LLM prompting/fine-tuning and GenAI application development. | AgentPost-train | 7 |
| Senior Associate, Data Scientist - Financial Services Data Scientist role at Capital One's Auto Finance business, focusing on building machine learning models for applications like customer lifetime valuation, product recommendation, fraud detection, and marketing optimization. The role involves leveraging technologies like Python, AWS, and Spark, and working through all phases of model development from design to implementation. | Post-train | 7 |
| Principal Data Scientist Capital One's DataLabs AML team is modernizing money laundering detection using advanced analytics, statistics, and machine learning models. This Principal Data Scientist role involves end-to-end development, deployment, and monitoring of risk management models, partnering cross-functionally, and defending these systems to regulators. The role requires strong ML/statistical skills, experience with Python/R, and SQL, with a focus on building and validating predictive models in the financial services domain. | Post-train | 7 |
| Principal Associate, Data Scientist - AI for Data Data Scientist role focused on developing AI-enabled features across the data lifecycle within a fintech company. Responsibilities include building ML models through all phases, leveraging technologies like Python, AWS, and Spark, and collaborating with cross-functional teams. Requires experience with various ML techniques, deep learning frameworks, and NLP/IR/Search/Recommendations/Fine-tuning on LLMs. | Post-trainServe | 7 |
| Senior Manager, Data Science - Cash Flow Underwriting Senior Manager, Data Science for Cash Flow Underwriting at Capital One. This role focuses on leveraging advanced machine learning techniques to build and implement predictive models for risk and usage, transforming raw banking data into valuable features for forecasting creditworthiness and customer behavior. The role involves leading a team, strategic planning, and end-to-end model development. | Post-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. Director, Product Management - AI/ML Platform Intelligence Sr. Director of Product Management to lead a team responsible for Capital One's Machine Learning and Generative AI platforms, focusing on core platform services for AI/ML that power business applications. Requires technical leadership, experience building products for data scientists and software developers, and familiarity with AI/ML infrastructure and tooling. | ServeAgent | 7 |
| Senior Associate, Data Science - Consumer Credit Risk Models and Data This role focuses on deploying, optimizing, and modernizing machine learning model pipelines and execution platforms for consumer credit risk management within a fintech company. The primary responsibility is to ensure these models are effectively implemented and provide insights for strategic decision-making, including loss allowances, stress testing, and capital allocation. | Serve | 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 |
| Principal Associate, Data Scientist - Mainstreet Acquisitions Capital One is seeking a Principal Associate, Data Scientist for their Mainstreet Acquisitions team. This role involves developing and deploying valuation models for credit underwriting, leveraging alternative data sources and advanced modeling techniques. The position requires building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, using technologies like Python, AWS, and Spark. The ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and skilled in handling large datasets. | Post-train | 7 |
| Manager, Data Scientist - Recommendation & Personalization Systems Manager, Data Scientist focused on Recommendation & Personalization Systems within an Applied AI team. The role involves architecting and deploying personalized recommendation engines using Foundation Models, Reinforcement Learning, and Transformer-based architectures. It operates at the intersection of research and real-world impact, dealing with high-scale ML models and billions of customer records in the fintech domain. | AgentPost-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 |