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 |
|---|---|---|
| Distinguished Engineer - Software Engineering Distinguished Engineer role focused on building an AI-powered platform for business process automation and intelligent finance, with a strong emphasis on agentic patterns and real-time observability. The role involves technical leadership, strategy, and hands-on contribution to complex problems in a regulated fintech environment. | Agent | 7 |
| Sr Director, Software Engineer - Card Tech AI Seeking a Senior 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 code, mentoring engineers, and ensuring AI-generated output is flawless, secure, and scalable. The focus is on bridging the gap between Intent and Execution (I=E) through rigorous, spec-driven design. | Agent | 7 |
| Principal Associate, Data Scientist - Anti-Money Laundering |
| AgentPost-train |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |