Jobs at Capital Insurance Group

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure for large language model inference and foundation model hosting. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and collaborating with cross-functional partners to integrate advanced AI solutions into banking products. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world systems. It offers the opportunity to shape the long-term technical vision of foundational AI while working in a culture that values innovation, quality, and the transformative impact of technology on customer experiences.

This senior management role within Capital One's Retail and Small Business Banking division focuses on driving growth and profitability through strategic business analysis. The position involves developing comprehensive business strategies, managing product and pricing initiatives, and leading credit risk modeling efforts to improve consumer performance. Key responsibilities include overseeing P&L accountability for business segments, mentoring analyst teams, and coordinating cross-functional projects with IT, sales, and operations. The role appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the opportunity to make significant impacts on the company's bottom line. It offers a collaborative culture where strategic thinking and quantitative skills are essential for navigating a fast-paced, entrepreneurial landscape.

The Senior Business Analyst role within the Global Payment Network at Capital One focuses on transforming complex payment data into strategic insights for Discover, Diners Club, and Pulse. Key responsibilities include identifying business challenges, developing credit risk models, supporting product pricing strategies, and driving marketing initiatives through rigorous quantitative analysis. The position requires close collaboration with IT, sales, and operations teams to implement solutions that enhance network security and profitability. This opportunity appeals to professionals seeking a dynamic environment that values innovation, continuous learning, and the chance to impact a global financial infrastructure. The role offers a collaborative culture where analytical expertise is directly applied to solve major company challenges.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms that transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques to enhance scalability and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the technical roadmap for foundational AI infrastructure. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact projects. The position supports a culture of innovation and technical excellence, allowing engineers to lead initiatives that redefine customer and associate experiences.

The Senior Distinguished AI Engineer role at Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined problems while shaping the long-term technical vision for foundational AI. This opportunity appeals to those seeking to apply cutting-edge research in a high-impact environment, offering the chance to work on systems that serve millions of customers with a focus on innovation and ethical AI deployment.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for the company's 1,800 software development teams. The position involves setting multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating cross-functionally with engineering, security, and compliance stakeholders. The role is appealing due to its central impact on the organization's cloud mission, offering the opportunity to shape industry-leading tools that improve the quality of life for developers. The position requires strong leadership to drive product lifecycles and align technical capabilities with business outcomes within a high-tech, entrepreneurial culture.

This full-time Principal Risk Associate role within Capital One's Enterprise Data Risk Management team focuses on overseeing data risk and ensuring effective mitigation strategies. Key responsibilities include testing and validating data management controls, analyzing data to identify emerging risks and trends, and collaborating with enterprise stakeholders to drive transformation and improve data maturity. The position appeals to professionals seeking to apply analytical and process management skills in a forward-thinking environment that values curiosity and creativity. The role offers the opportunity to influence organizational strategy while working with diverse teams to protect customers and maintain a sustainable operational risk profile.

This Senior Manager, Data Scientist role within the Generative AI Systems team at Capital One focuses on developing cutting-edge AI solutions for dialogue, text processing, and image analysis. The position involves leading cross-functional teams to build machine learning models from design through implementation, leveraging technologies like Python, AWS, and Spark to extract insights from massive datasets. Key responsibilities include translating complex technical work into business value, mentoring talent, and driving innovation in natural language processing and computer vision. The role is appealing for its opportunity to shape the future of financial services using emerging generative AI technologies, work with a collaborative culture of researchers and engineers, and contribute to research presented at major industry conferences. The position is based in McLean, Virginia or New York, New York.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams to design, train, and operationalize large language models that power features like the digital assistant Eno and personalized customer experiences. Key responsibilities include leveraging advanced technologies such as PyTorch and AWS to build resilient production systems serving over 80 million users, while translating complex technical concepts into clear business strategies. The role is appealing for its opportunity to drive innovation in generative AI, work with cutting-edge tools, and lead talent development within a data-centric culture. The position is based in McLean, New York, or San Jose.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable machine learning solutions, specifically leveraging Large Language Models and Natural Language Processing to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to build AI-powered features, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into business value. This opportunity appeals to candidates seeking to drive innovation in generative AI within a data-centric culture that values customer-first decision-making and professional growth. The role operates on-site in McLean, New York, or San Jose.

This senior individual contributor role serves as the Enterprise Product Check Items Processing Lead within Capital One's Product Management team. The position focuses on defining the vision, strategy, and roadmap for core check processing capabilities while driving modernization, efficiency, and compliance. Key responsibilities include leveraging payment system expertise to deliver secure, scalable solutions, and influencing cross-functional teams such as engineering, risk, and data science to solve complex problems without direct management authority. The role appeals to candidates seeking to reimagine the status quo in a vibrant, transformational environment where human-centered innovation and technology-driven outcomes are prioritized. It offers the opportunity to work on high-impact digital products that enhance both customer and operational experiences.

This senior business analyst role within the Business Cards & Payments team focuses on solving strategic challenges for small business customers through data-driven insights. Key responsibilities include modeling and analyzing lending products, supporting direct-to-consumer marketing strategies, and developing credit risk models to improve performance. The position requires collaboration with cross-functional partners in IT, sales, and operations to drive quality and profitability. The role appeals to candidates seeking a dynamic, entrepreneurial environment that values curiosity, innovation, and continuous learning. It offers a collaborative culture where employees own their work end-to-end and are encouraged to take on new responsibilities in a fast-paced setting.

This full-time Senior Associate Product Designer role supports the Experience Design team at Capital One, focusing on creating meaningful digital and physical banking experiences. The position involves leveraging interaction, visual, and service design skills to co-create innovative solutions for complex problems. Key responsibilities include developing high-fidelity prototypes and journey maps, utilizing data and research to drive human-centered design decisions, and collaborating with cross-functional partners to align customer needs with business goals. The role appeals to creative innovators seeking a culture of authenticity, diversity of thought, and healthy critique. It offers opportunities to experiment and learn within a thriving environment while working on impactful projects that change banking for good. The position is based in McLean, New York, or Richmond, Virginia.

This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, and technical excellence.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse, cross-functional team.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for enterprise AI. The role offers the chance to work on complex, undefined problems that directly enhance customer experiences while contributing to a culture of innovation and technical excellence.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver AI-powered products, optimizing model performance for scale, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research and innovation. It offers the opportunity to work on cutting-edge projects that redefine customer interactions, supported by a culture that values creativity, technical excellence, and ethical AI development.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform customer banking experiences. The position involves partnering with cross-functional teams to build foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work at the forefront of machine learning innovation in a collaborative environment that values ethical AI practices and continuous learning. While the position requires a PhD or equivalent experience, it offers the opportunity to lead impactful research agendas and contribute to scalable, high-performance infrastructure. The job is based in major US hubs including Cambridge, McLean, New York, and San Jose.

The Sr. Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world challenges. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a culture that values innovation, quality, and ethical AI deployment.

The Sr. Distinguished AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing foundation model training and inference for performance, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to solve complex, undefined challenges while contributing to the long-term technical vision. This opportunity appeals to candidates seeking to apply state-of-the-art research in a high-impact environment with a culture of innovation and ethical AI. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

The Applied Researcher I role is part of Capital One's AI Foundations team, focusing on developing trustworthy and reliable artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through implementation, leveraging technologies like PyTorch and AWS to extract insights from large datasets, and collaborating with cross-functional teams to deliver high-impact products. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art research with real-world applications. The role supports a culture of innovation and continuous learning, allowing researchers to own their agendas and translate complex technical concepts into tangible business value.

The Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and establishing governance and observability frameworks. The position leverages a modern stack of open-source and cloud technologies to deliver high-impact products. This opportunity appeals to candidates seeking to lead technical vision in a collaborative environment where emerging AI capabilities are applied to solve complex, undefined problems. The role offers the chance to work with world-class talent on systems that directly enhance customer experiences while maintaining a strong commitment to ethical AI practices.