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Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).

Hiring
241 / 262
Momentum (4w)
↓-218 -26%
622 opens last 4w · 840 prior 4w
Salary range · avg $231k
$123k–$392k
USD · disclosed roles only
Tracked since
Aug '25
last role 4w ago
Hiring velocityscroll left for older weeks
1 new role
May 19
1 new role
26
1 new role
Jul 21
1 new role
Aug 25
2 new roles
Sep 8
2 new roles
15
2 new roles
29
1 new role
Oct 13
1 new role
20
5 new roles
27
3 new roles
Nov 3
2 new roles
17
1 new role
24
3 new roles
Dec 1
1 new role
8
5 new roles
15
1 new role
22
1 new role
29
18 new roles
Jan 5
29 new roles
12
12 new roles
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23 new roles
26
28 new roles
Feb 2
24 new roles
9
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16
36 new roles
23
45 new roles
Mar 2
49 new roles
9
57 new roles
16
74 new roles
23
88 new roles
30
129 new roles
Apr 6
135 new roles
13
188 new roles
20
259 new roles
27
314 new roles
May 4
206 new roles
11
158 new roles
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162 new roles
25
182 new roles
Jun 1
199 new roles
8
155 new roles
15
86 new roles
22

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Capital One hiring for?

    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.

  • What stage of AI development does Capital One focus on?

    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.

  • Where is Capital One hiring AI talent?

    Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).

  • What technologies does Capital One's AI team work with?

    Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.

  • How many AI roles has Capital One posted recently?

    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).

Jobs (82)

245 AI · 1392 total active
FilteredStageAgent×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 8Pretrain · 11Post-train · 70Serve · 84Agent · 82Eval Gate · 1Ship · 49
Function
AllEngineering · 693Product · 660Research · 33
Country
AllUnited States · 1257Canada · 52United Kingdom · 38Philippines · 31Mexico · 14
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI 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.
AgentEngineeringMcLean, VA +28w ago7
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.
AgentEngineering
51–82 of 82← Prev12Next →
San Francisco, CA +4
8w ago
7
Principal Associate, Data Scientist - Anti-Money Laundering
This role focuses on building and deploying AI/ML models for Anti-Money Laundering (AML) within a financial services context. The responsibilities include developing production-ready pipelines, building ML models and AI tools, and specifically fine-tuning, evaluating, and productionizing LLMs. The role involves working with technologies like Python, AWS, Spark, and LLM-specific tools such as LangGraph and LlamaIndex, with a strong emphasis on delivering industry-leading risk management products.
AgentPost-trainEngineeringMcLean, VA +38w ago7
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.
AgentProductMcLean, VA +38w ago7
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.
AgentEngineeringMcLean, VA +3Apr 147
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-trainEngineeringMcLean, VAApr 107
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.
AgentEngineeringNew York, NYApr 97
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.
AgentServeProductBangalore, INApr 97
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-trainEngineeringMcLean, VA +1Apr 87
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.
AgentEngineeringSan Francisco, CA +3Apr 77
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 GateEngineeringMcLean, VA +2Apr 77
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.
AgentEngineeringSan Francisco, CA +3Apr 77
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-trainEngineeringPlano, TXApr 67
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-trainEngineeringMcLean, VA +2Jan 167
Principal Risk Specialist, Tech & Cyber Risk | Retail Bank
This role focuses on managing and mitigating technology and cyber risks associated with AI implementations within a financial institution. The specialist will partner with various teams to assess and address risks related to AI applications, large-scale architecture transformations, and overall technology resilience. Experience with AI risk management frameworks and working in regulated environments is preferred.
AgentEngineeringMcLean, VA +11w ago5
Senior Platform Engineer
Senior Platform Engineer for the Enterprise Search Team, focused on scaling Agentic AI solutions for developer productivity and knowledge discovery. The role involves engineering high-availability systems for AI agents and maintaining core internal platforms. Requires experience with build/deployment tools and AWS.
AgentServeEngineeringRichmond, VA +31w ago5
Manager (IC), Product Design - Design Systems
This role focuses on designing and governing AI-native design systems, ensuring that automated outputs from AI agents align with brand integrity and customer experience. The individual will own the end-to-end lifecycle of component architecture, from tokenization to production code, and will act as an experience auditor and logic planner for AI-generated interfaces. Key responsibilities include establishing system logic and prompt criteria for AI patterns, designing interactions for AI agents, and ensuring quality assurance through heuristic evaluations and UX metrics. The role emphasizes collaboration with engineering and other design systems teams, and involves mentoring designers on systemic thinking and AI tooling.
AgentEngineeringNew York, NY +22w ago5
Senior Manager, Software Engineering, Full Stack
Senior Manager, Software Engineering, Full Stack role at Capital One, focused on leading engineering initiatives to support sales enablement, coaching, knowledge management, customer engagement, and operational efficiency. The role involves leading the adoption of AI/GenAI solutions and driving experimentation with emerging technologies like AI agents and intelligent search to improve associate productivity and customer experiences.
AgentEngineeringPlano, TX2w ago5
Principal Associate, Process Manager - Client Engagement & Issue Resolution
This role focuses on improving client engagement and issue resolution processes by identifying and automating complaint handling using AI. The Process Manager will devise, build, or utilize AI automation flows to streamline intake and root cause analysis, manage remediation projects, and analyze complaint data for insights and process enhancements. Experience with AI automation tools like Google Gemini is preferred.
AgentEngineeringHouston, TX +32w ago5
Distinguished Engineer - Global Payment Network
Distinguished Engineer role focused on leveraging agentic AI and modern AI tools to build and operate mission-critical global payment network systems, driving innovation and technical excellence in a cloud environment.
AgentEngineeringMcLean, VA +32w ago5
Lead Software Engineer, Messaging Dispatch
Lead Software Engineer role focused on building and implementing technical solutions using AI technologies, LLMs, and cloud infrastructure within the Marketing and Messaging organization. The role involves leading a team, collaborating with product managers, and leveraging a diverse tech stack to deliver personalized customer experiences. Experience with prompt engineering and generative AI coding tools is preferred.
AgentEngineeringMcLean, VA +12w ago5
Lead, User Intelligence Research
Lead User Intelligence Research to support product areas, focusing on building cumulative user intelligence by executing a structured, systems-oriented human intelligence system. This involves planning and conducting research studies, utilizing AI agents/skills, and enabling human access platforms for discovery, testing, and assessment of user experiences.
AgentResearchNew York, NY +23w ago5
Sr. Manager, Cyber Risk & Analysis | Retail Bank Premium Products & Experiences
This role is a Sr. Manager in Cyber Risk & Analysis for a financial institution, focusing on the responsible implementation and governance of AI, risk assessment for technology integration, and large-scale architecture transformation programs. The individual will partner with business and technology leaders to shape the technology risk posture and ensure the resilience of enterprise technology.
AgentEngineeringMcLean, VA +14w ago5
Senior Manager, Product Management - US Card Core Platform & Servicing
Product Manager role focused on AI and servicing within the US Card division of Capital One. The role involves leading strategy, development, and execution of AI-leveraged products, including an AI-leveraged source of truth for servicing policies, intelligent tooling for agents, and conversational AI solutions for customer interactions. The position emphasizes customer-centricity, business strategy, technological innovation, and team leadership.
AgentProductMcLean, VA +34w ago5
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.
AgentEngineeringRichmond, VA +14w ago5
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.
AgentEngineeringMcLean, VA +25w ago5
Sr. Associate, Product Management
Product Manager role focused on a Fraud Decisioning Platform, driving roadmap for capabilities that improve decisioning at scale and rule creation. The role requires a customer-first mindset, collaboration, and a data-driven roadmap balancing automation, ease of use, and resiliency. Experience with AI tools and building requirements for Agentic AI systems is preferred.
AgentProductNew York, NY +16w ago5
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.
AgentEngineeringMcLean, VA8w ago5
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.
AgentEngineeringRichmond, VAApr 235
Director, Research & User Experience Intelligence, Card
This role is for a Director of Research & User Experience Intelligence within Capital One's Card organization. The primary focus is on leveraging AI and agentic models to accelerate learning velocity for product teams by configuring agents for insight extraction, concept testing, and market assessments. The role involves building cumulative user intelligence, creating research and testing agents, and establishing a continuous discovery program. While the role uses AI tools and configures agents, it is more focused on the application and integration of AI for product development and user experience rather than core AI research or model building.
AgentProductMcLean, VA +1Mar 305
Senior Product Manager, AppSec
Senior Product Manager for Application Security (AppSec) at Capital One, focusing on integrating AI into the Software Development Lifecycle (SDLC) for enhanced security. The role involves defining strategy, roadmaps, and partnerships for AppSec scanning tools with a 'shift left' approach, aiming to improve developer experience and security without compromising speed. Key responsibilities include evaluating AI-application security strategies, secure integration of AI agents, prompt engineering guardrails, and automated remediation pipelines, alongside traditional AppSec tool evaluation and governance.
AgentProductMcLean, VA +3Mar 95
Senior Manager, Product Manager: Capital One Shopping (Remote-Eligible)
Product Manager for Capital One Shopping, focusing on leveraging AI for product development and customer experience. The role involves leading engineering teams, defining product vision, and using data to drive strategy, with a strong emphasis on incorporating AI into personal projects and exploring AI-driven tools.
AgentProductMcLean, VA +2 · RemoteFeb 45