Jobs at Capital One

The Senior Lead AI Engineer will develop and support AI software components, lead cross-functional teams, and optimize AI solutions for Capital One's banking systems.

Lead AI Engineer responsible for developing AI software components, partnering with cross-functional teams to deliver AI-driven products, and optimizing large-scale AI systems.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Lead AI Engineer will design, develop, and support AI software components, leveraging various AI technologies to enhance banking services. The role involves partnering with cross-functional teams to deliver AI-powered products and optimize large-scale production AI systems.

The Senior Lead AI Engineer will develop, test, and support AI software, design new models, and enhance AI product offerings at Capital One while collaborating across teams.

The Senior Lead AI Engineer will develop and support AI software components, collaborate with cross-functional teams, and enhance banking experiences through AI systems.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

Lead product efforts for model analytics and forecasting platforms, partnering with Quant, Treasury, Technology, and Data teams to define requirements, prioritize features, drive delivery, and establish success metrics and governance for transparent, scalable, trusted model development and deployment.

Lead diverse technology projects in distributed microservices and full stack systems, mentoring team members and collaborating with product managers on cloud-based solutions.

Lead product vision, strategy, and execution for Treasury, Trading, and balance sheet risk management products. Build and mentor a Product Management organization, prioritize cross-functional work, evangelize strategy to executives, use data to drive decisions, and coordinate launches and optimizations to modernize capital markets data and platforms.

Conduct applied research to design, train, evaluate, and deploy AI foundation models and recommendation/personalization systems. Collaborate with cross-functional teams to build models at scale using PyTorch, cloud infrastructure, and open-source tools. Publish research, deliver platform-level code, and drive long-term research agendas to improve customer experiences.

Lead a team of developers delivering cloud-based Salesforce and full-stack solutions. Drive a portfolio of distributed microservices projects, mentor engineers, collaborate with product managers, and implement integrations using Apex, Lightning, web technologies, SOQL, and REST/SOAP APIs. Participate in architecture, code evaluation, and technology community engagement.

Lead Data Engineer will design, build, test, and support cloud-based data solutions and streaming systems. Collaborate with Agile teams and product managers, mentor engineers, implement big data tooling (Spark, Kafka, EMR), and optimize data warehousing (Redshift, Snowflake) using Java/Scala/Python and SQL. Ensure code quality with unit tests and reviews.

Lead engineering teams building AI-native, cloud-based finance platforms. Oversee design, governance, and delivery of distributed microservices and multi-agent AI workflows, mentor engineers, collaborate with product managers, and drive enterprise transformation using cloud, containers, and modern languages/tools.

The Distinguished Engineer will drive innovation in banking technology, lead software engineering projects, mentor teams, and utilize AI and advanced architectures for risk management.

As an Applied Researcher I, you'll collaborate with cross-functional teams to develop AI solutions, engage in research, and contribute to AI model development.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

Lead the development and deployment of AI-powered products with a focus on foundational AI systems, LLM optimization, and team collaboration to enhance user experiences in banking.

As a Lead AI Engineer at Capital One, you will design and support AI software, develop LLM and optimization techniques, and collaborate with cross-functional teams to innovate AI products.