Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
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).
Banking · Banking
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 |
|---|---|---|
| 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 |
| Senior Lead Data Engineer Senior Lead Data Engineer at Capital One, focusing on designing, developing, and implementing technical solutions with a team of developers experienced in machine learning and full-stack systems. The role involves utilizing various programming languages and cloud-based data warehousing services, and collaborating with product managers to deliver cloud-based solutions. While the role mentions leading a team with ML experience and leveraging AI tooling, the core responsibilities are centered around data engineering and application development, not directly shipping AI models or agents. | — | 5 |
| Lead Software Engineer Lead Software Engineer role at Capital One, focusing on full-stack development of cloud-based solutions for financial empowerment, with a team leadership component and leveraging AI tooling for productivity. | — | 5 |
| Senior Lead Software Engineer Senior Lead Software Engineer role at Capital One, focusing on leading technology projects, delivering cloud-based solutions for financial empowerment, and utilizing AI tooling for productivity. The role involves collaboration with product managers and mentoring other engineers, with a strong emphasis on software engineering fundamentals and cloud technologies. | — | 5 |
| Lead Data Engineer Lead Data Engineer role at Capital One focused on building and pioneering in the technology space, collaborating with Agile teams to design, develop, test, implement, and support technical solutions. The role involves working with machine learning, distributed microservices, and full stack systems, utilizing languages like Java, Scala, and Python, and cloud-based data warehousing services. It also emphasizes sharing tech trends, mentoring, and delivering cloud-based solutions for financial empowerment. Experience with interactive AI tooling is preferred. | — | 5 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Manager Architect - Data Senior Manager Architect - Data role focused on shaping the architecture direction and evolution of a cloud-based data ecosystem for a financial services company. Responsibilities include defining technical standards, partnering with various teams, and enabling simplification and innovation in data processing, storage, and consumption for ML & AI. | — | 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 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 |
| 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 |
| 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 |
| 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. | Agent | 5 |
| Distinguished Engineer Distinguished Engineer role focused on defining and implementing the multi-year reliability roadmap and target architectural state for the product portfolio, with a strong emphasis on leveraging Generative AI to enhance automation, code quality, and operational workflows, aiming for autonomous operations and predictive reliability within an enterprise AI context. | Ship | 5 |
| Senior Lead Software Engineer, Full Stack Senior Lead Software Engineer, Full Stack role at Capital One, focusing on building and pioneering technology solutions for complex business problems in a collaborative environment. The role involves leading technology projects, mentoring developers, collaborating with product managers, and delivering robust cloud-based solutions. It requires experience in distributed microservices, full stack systems, and cloud computing, with a preference for Python, Go, and AWS. | — | 5 |
| Principal Risk Associate, Tech & Cyber Risk | Retail Bank This role focuses on technology and cyber risk management within a financial services institution, specifically partnering with engineering teams to identify, assess, and mitigate risks related to AI implementations and other technology initiatives. It involves end-to-end risk management, project management, stakeholder engagement, and ensuring alignment with enterprise risk frameworks and compliance. | — | 5 |
| Lead Software Engineer, Full Stack Lead Full Stack Software Engineer role at Capital One, focusing on building cloud-based solutions for financial empowerment. Requires experience in distributed microservices, full stack systems, and cloud computing (AWS, Azure, GCP). The role involves leading projects, mentoring developers, and collaborating with product managers. Experience with interactive AI tooling is preferred. | — | 5 |
| Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes) This role is for a Senior Lead Software Engineer focused on distributed systems, Golang, Python, and Kubernetes within Capital One's Machine Learning Experience Team (MLX Tech). While the team works with AI/ML and Generative AI, the core responsibilities of this specific role are in building and leading the development of platforms and microservices, with an emphasis on distributed systems and cloud infrastructure. The role involves collaboration with product managers, mentoring engineers, and potentially coding, but the primary focus is on the engineering and infrastructure aspects that support AI/ML solutions, rather than directly building or researching AI models themselves. The role mentions leveraging AI tooling for productivity, indicating an adjacent relationship with AI. | — | 5 |