Capital One is hiring an AI Engineer 5 to help build responsible and scalable AI systems for banking. The role sits within the Intelligent Foundations and Experiences team and involves designing, developing, testing, deploying, and supporting AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will use a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch, and more, and you will contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One. Responsibilities include designing and optimizing multi-model orchestration pipelines, establishing cost-performance governance, and mentoring Principal and Manager-level AI engineers. Qualifications include a Bachelor's or Master's in CS/AI/EE/CE or related fields with 4–6+ years of AI/ML experience, strong Python experience, and experience leading or delivering complex AI systems. Location-based salary ranges are listed for McLean, VA; Cambridge, MA; New York, NY; San Francisco, CA; and San Jose, CA. This is a full-time position with Capital One, an equal opportunity employer.

Capital One is hiring an AI Engineer 5 to help build responsible and scalable AI systems for banking. The role sits within the Intelligent Foundations and Experiences team and involves designing, developing, testing, deploying, and supporting AI software components, including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will use a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch, and more, and you will contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One. Responsibilities include designing and optimizing multi-model orchestration pipelines, establishing cost-performance governance, and mentoring Principal and Manager-level AI engineers. Qualifications include a Bachelor's or Master's in CS/AI/EE/CE or related fields with 4–6+ years of AI/ML experience, strong Python experience, and experience leading or delivering complex AI systems. Location-based salary ranges are listed for McLean, VA; Cambridge, MA; New York, NY; San Francisco, CA; and San Jose, CA. This is a full-time position with Capital One, an equal opportunity employer.