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 22% 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 |
|---|---|---|
| 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. | Agent | 5 |
| Senior Manager, Project Management – Financial Services Talent Strategy This role is a Senior Manager of Project Management focused on Talent Strategy within the Financial Services division. The primary goal is to transition from manual talent planning to an AI-assisted, predictive talent system. Responsibilities include architecting roadmaps, consolidating tools, building predictive interfaces, leveraging AI for skill mapping and flight risk identification, and operationalizing talent review processes. While AI tools are leveraged, the core function is product/project management of a talent system, not direct AI/ML model development. |
| — |
| 5 |
| Manager, Data Science - Model and Script Enhancement (MASE) Compliance This role focuses on assessing compliance risk in models and scripts within a financial institution. While it involves evaluating code and potentially leveraging GenAI for process improvement, the core function is risk management and compliance, not direct AI/ML model development or deployment. | — | 5 |
| Manager, Data Scientist - Credit Review Manager, Data Scientist role at Capital One focused on challenging existing production models with new statistical and machine learning models. The role involves leveraging technologies like Python, AWS, H2O, and Spark to analyze large volumes of data, build and validate models, and collaborate with cross-functional teams. The ideal candidate has a strong statistical background, experience with various machine learning techniques, and a passion for innovation. | Post-train | 5 |
| Director, Product Management - Small Business Experiences & Capabilities (BC&P) Product Manager role focused on small business experiences and capabilities, with a requirement for demonstrated interest and aptitude in AI, including personal projects and exploration of AI tools. The role involves leading a team, driving product launches, and transforming the Product Management organization by leveraging AI. | — | 5 |
| 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. | AgentServe | 5 |
| Cyber Program Manager Program Manager for Capital One's Cyber Execution and Transformation (CET) team, focusing on implementing key cyber initiatives, operationalizing risk frameworks, and bridging gaps between technical teams, risk professionals, and executives. The role requires strong program management, analytical skills, and a background in Cyber or Cloud implementations, with a stated understanding of AI technologies and emerging cybersecurity risks. | — | 5 |
| Manager, SRE Risk Advisory and Oversight This role focuses on second-line oversight and risk assessment of Site Reliability Engineering (SRE) and software engineering practices within a financial services company. The Manager will evaluate cloud implementations, resilience architectures, and the integration of emerging automation and Generative AI toolsets to ensure reliability and stability. Key responsibilities include conducting technical risk analyses, supporting effective challenge against enterprise risk appetites, building reporting materials for executives, and assessing core SRE pillars like SLIs/SLOs and CI/CD pipelines. While the role evaluates AI/ML tooling, its core function is risk management and advisory, not direct AI/ML model development or deployment. | — | 5 |
| Lead Data Engineer (Enterprise Platforms Technology) Lead Data Engineer role focused on building and pioneering technology solutions within Capital One's Enterprise Platforms Technology group. The role involves collaborating with Agile teams, designing and developing technical solutions, working with machine learning and distributed microservices teams, and utilizing various programming languages and cloud-based data warehousing services. The position requires experience in application development, big data technologies, and cloud computing, with preferred qualifications in specific technologies like Spark, Kafka, Snowflake, and real-time data streaming. | — | 5 |
| Senior Associate, Bilingual (Spanish) Process Manager Linguist This role focuses on managing and ensuring the quality of Spanish translations for financial services, legal, and marketing content within Capital One. It involves using translation technologies, adhering to glossaries and style guides, performing quality assurance, and driving process improvements to ensure linguistic accuracy and cultural resonance for U.S. Spanish-speaking customers. The role requires bilingual fluency in Spanish and English, experience with language technologies, and a background in financial services, legal, or marketing. | — | 5 |
| Sr. Manager, Product Management - PACE (Business Cards & Payments) Product Manager leader for Capital One's Business Cards & Payments team, focusing on the employee card spending journey. The role requires a demonstrated interest in AI, with a preference for candidates who have used AI in personal projects or explored AI tools. | — | 5 |
| Senior Lead Software Engineer, Back End (Finance Tech) Senior Lead Software Engineer focused on back-end development within Capital One's Finance Tech division. The role involves leading technology projects, mentoring developers, and building cloud-based solutions for financial services, with an emphasis on regulatory needs and leveraging emerging technologies. While the role mentions using AI tooling for productivity, its core function is not AI/ML model development but rather engineering robust financial systems. | — | 5 |
| Principal Associate, Business Analysis This role focuses on applying advanced data methodologies, statistics, and machine learning models within the Anti-Money Laundering (AML) domain. The Principal Associate, Business Analysis will be responsible for understanding user needs, conducting business analyses, defining business requirements, and executing against product strategy to modernize how Capital One identifies potential financial crimes. While the role involves working with ML models and data, the primary output is business strategy, product definition, and requirements, rather than shipping the ML models themselves. | Data | 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 |
| Senior Manager, Quantitative Analysis - Model Risk Office Senior Manager role focused on quantitative analysis within the Model Risk Office at Capital One. The role involves partnering with model development and risk teams to advance the Loan Loss Forecasting and ACL framework, assessing model design, and ensuring model quality and transparency. Requires strong experience in statistical and machine learning modeling, Python/R, and communicating technical concepts to various stakeholders, including regulators. | Post-train | 5 |
| Manager, Data Scientist - Deposit Forecasting and Pricing Manager, Data Scientist role focused on developing behavior models for balance sheet portfolios using econometric time-series models and quantitative methods. The role involves applying machine learning, working with relational databases, and communicating models to stakeholders, including regulators. Requires experience in data analytics, machine learning, and relational databases, with a preference for advanced degrees and Python/Scala/R experience. | Data | 5 |
| 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. | Agent | 5 |
| Work From Home - Global Operations Coach, Senior Associate This role involves managing a team of customer service representatives who use Generative AI tools. The coach will monitor and audit AI-generated recommendations, interpret AI outputs, and train associates on distinguishing AI suggestions from policy requirements. The role focuses on operational excellence, people leadership, and ensuring compliance within a regulated financial environment, leveraging AI as a co-pilot for decision-making. | — | 5 |
| 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. | Agent | 5 |
| Senior Manager, SRE Risk Advisory and Oversight Senior Manager role focused on SRE Risk Advisory and Oversight within a financial services company. The role involves providing technical leadership, subject matter expertise, and effective challenge over software engineering and SRE practices, with a focus on cloud services, resilience, and the integration of AI/ML tooling for optimization. Responsibilities include independent risk reviews, executive communication, and stakeholder engagement, ensuring adherence to SRE best practices and enterprise risk appetites. The role operates within the Second Line of Defense, collaborating with first-line technology teams and other risk management offices. | — | 5 |
| Sr. Business Manager - Operational Risk Analytics and Strategy This role is for a Sr. Business Manager focused on Operational Risk Management (ORM) analytics and strategy. The core responsibility is to modernize risk management by championing AI adoption, automation, and advanced data strategies, moving from historical reporting to predictive and real-time analytics. The role involves leading strategic initiatives, conducting analytical deep dives, and ensuring end-to-end execution with strong change management and executive communication. | — | 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 |
| Senior Manager, Research & User Intelligence (Card Platforms & Data) This role focuses on accelerating learning velocity by defining and executing research programs that generate actionable insights to inform the creation of useful and usable solutions within Capital One's Card Platforms & Data team. The Senior Manager will conduct multi-method research studies with internal associates and customers, focusing on technical spaces and internal platforms. Responsibilities include optimizing user intelligence, leading rapid testing, managing continuous discovery, supporting UX measurement, and synthesizing data from various sources. | — | 5 |
| Manager, Data Scientist - Upmarket Acquisitions Valuations Capital One is seeking a Manager, Data Scientist to lead the Valuations Infrastructure pod within the Upmarket Acquisitions team. This role involves building and implementing machine learning models for credit card valuations, impacting millions of accounts and billions in exposure annually. The position requires strong technical skills in data analysis, machine learning, and open-source tools, with a focus on translating complex work into tangible business goals within a regulated fintech environment. | Post-train | 5 |
| Product Design Director, Consumer & Developer Experience Product Design Director for Consumer & Developer Experience at Capital One, leading a team focused on foundational digital journeys across web and mobile. The role involves collaborating with research, product, and tech leadership to define design strategy, oversee user experience, and ensure seamless quality and consistency. The ideal candidate will have strong product design expertise, leadership skills, and a human-centered, business-focused approach. Experience with AI assistant tools and agentic development is preferred. | — | 5 |
| 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. | Agent | 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. Risk Specialist This role focuses on ensuring high data quality and robust data management processes within Capital One's Operations Risk Management group, specifically in the Customer Data space. The specialist will research data issues, partner with analyst teams to deploy and monitor data quality controls, and leverage AI tools to improve processes. Responsibilities include overseeing data issue resolution, collaborating with various stakeholders, and maintaining documentation for controls. While AI tools are used for efficiency, the core function is risk and data management, not AI model development. | — | 5 |
| Director, Information Security Office AI/ML This role is for a Director in the Information Security Office supporting the AIML Division. The primary focus is on ensuring enterprise-grade security and risk management for AI/ML initiatives, including generative AI security and compliance with regulatory frameworks. The role involves strategizing, implementing best practices, collaborating with various teams, and acting as a subject matter expert in cybersecurity operations. | — | 5 |
| Senior Lead Information Security Consultant (AI) This role focuses on Information Security consulting for AI initiatives within a financial services context. The Senior Lead Information Security Consultant will advise on security best practices, risk management, and compliance for AI technologies and platforms, ensuring the secure integration and operation of AI within the company's systems, particularly in e-commerce and payments. | — | 5 |
| Senior Manager, Software Engineering, Full Stack (Enterprise Platform Technology) Senior Manager, Software Engineering for Enterprise Platform Technology at Capital One, leading a team to own and evolve a content management system towards agentic, AI-native workflows. Focuses on full-stack development, microservices, cloud solutions, and integrating AI tooling to improve productivity and meet regulatory needs. | — | 5 |
| Manager, Data Scientist - Bureau Data Strategy Capital One is seeking a Manager, Data Scientist for their Bureau Data Strategy team. This role involves partnering with cross-functional teams to deliver products, leveraging technologies like Python, AWS, and Spark to analyze large datasets, and building machine learning models through all phases of development. The ideal candidate is customer-focused, a leader, technically proficient, and a data expert with experience in open-source tools and cloud platforms. | Post-train | 5 |
| 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. | Agent | 5 |
| 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. | Agent | 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 |
| Sr Lead Software Engineer (Full Stack) Senior Lead Software Engineer (Full Stack) at Capital One, focused on building customer-facing web applications for primary credit card products. The role involves a modern front-end stack, cloud-hosted environments, and leveraging AI tools to enhance productivity and user experience. Responsibilities include leading projects, mentoring developers, collaborating with product managers, and delivering robust cloud-based solutions. | — | 5 |
| Lead Software Engineer, Full Stack (Python, Java, AWS, CI/CD, GenAI) (Enterprise Platforms Technology) Lead Full Stack Software Engineer role at Capital One, focusing on enterprise platforms and leveraging AI tooling to accelerate productivity. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions using various programming languages and AWS services. While the company uses AI, the core craft of this role is software engineering, not AI/ML model development. | — | 5 |
| Senior Manager, Data Scientist - Card DFS Integration This role is for a Senior Manager, Data Scientist focused on Card DFS Integration within Capital One's Discover Card Customer Management Data Science team. The role involves partnering with cross-functional teams, leveraging technologies like Python, AWS, and Spark, and building machine learning models through all phases of development. The ideal candidate is customer-focused, creative, statistically-minded, and proficient with large datasets and various machine learning techniques including clustering, classification, sentiment analysis, time series, and deep learning. | Post-train | 5 |
| Senior Associate, Data Scientist - Credit Line Increase Program This role focuses on building and deploying machine learning models for credit line increases within a fintech company. The data scientist will work across the full model lifecycle, from design and training to evaluation and implementation, leveraging various technologies and collaborating with cross-functional teams. The role emphasizes innovation, technical skills in data science solutions, and statistical modeling. | Post-train | 5 |
| 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. | Agent | 5 |
| Lead Data Engineer (Intelligent Foundations and Experiences) Lead Data Engineer role focused on building and pioneering in the technology space, collaborating with Agile teams to design, develop, test, implement, and support technical solutions in Big Data development tools and technologies. The role involves working with machine learning, distributed microservices, and ETL systems, utilizing languages like Java, Scala, Python, and cloud-based data warehousing services. It also emphasizes staying on top of tech trends, experimenting with new technologies, and mentoring. The role mentions leveraging interactive AI tooling to accelerate productivity. | — | 5 |
| Distinguished Engineer Distinguished Engineer role focused on leading the strategy, roadmap, and execution for next-generation CI/CD pipelines, microservices architectures, and AI-augmented developer tooling. The role involves championing Intent-Driven Infrastructure, leveraging AI and automation to simplify infrastructure provisioning and optimization. It requires bridging technical implementation with business value, partnering with various stakeholders, and building a secure, developer-centric ecosystem to reduce Feature Lead Time. The position also emphasizes fostering engineering excellence, mentoring talent, and influencing executive leadership. | Serve | 5 |
| Product Design Manager Product Design Manager role at Capital One, focusing on creating memorable and meaningful product experiences. The role involves leveraging design expertise across interaction, visual, and service design, collaborating with cross-functional partners, and understanding customer and business needs. The candidate will explore and integrate emerging AI tools and technologies into the design process and has experience designing agentic workflows. This is a product-focused role within the fintech domain, with an AI maturity signal of 'Exploring' due to the integration of AI tools and agentic workflow design. | — | 5 |
| Product Manager - AI and Automation Product Manager role focused on AI and Automation within Capital One's Finance ecosystem. The role involves merging and modernizing the finance ecosystem through a product-led lens, transitioning from manual processes to automated, holistic solutions. It emphasizes delivering measurable operational leverage and ensuring robust, compliant, and audit-ready change. The team is investing in AI tools and focuses on developing, launching, and using AI responsibly. The role requires proficiency in human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership. | — | 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 |
| Business Director: Capital One Shopping (Remote-Eligible) Business Director role focused on improving and integrating new product, process, and revenue opportunities within the Capital One Shopping business. The role requires a demonstrated interest and aptitude for AI native development, with a preference for candidates who have proactively incorporated AI into personal projects or explored AI-driven development environments. | — | 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 ( Fraud & Disputes) Distinguished Engineer role focused on leading fraud defenses and user experiences within the Fraud & Disputes domain at Capital One. The role involves partnering with stakeholders to build scalable and resilient solutions, standardizing capabilities for intelligent decision-making, and defining the vision for integrated defenses. It emphasizes cloud-native solutions, modern tech, and design patterns, with opportunities to work with emerging technologies like AWS, Java, Python, GO, REST, databases, and pipelines. | — | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and scaling data infrastructure and AI-driven decisioning models for financial services. The role involves full-stack development, big data technologies, and cloud computing, with a focus on transforming data into smart decisions. | — | 5 |
| Senior Manager, Product Management - MarTech / AdTech (Enterprise Consumer Products) Product Manager for MarTech/AdTech within Enterprise Consumer Products, focusing on foundational capabilities for customer interactions, data, and AI. This role involves managing platforms for content creation and communication distribution, aiming for data-driven, relevant, and optimized consumer engagement. | — | 5 |