AI Foundations Engineer: Evaluations & Agentic Workflows

Capital One Group; McLean (VA); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 to help design and deploy responsible AI systems across banking products. You will work with engineers, scientists, PMs, and managers to build foundation model training, inference, agents, and multi-agent workflows.

The role emphasizes scalable AI infrastructure, performance optimization, governance, and collaboration with cross-functional teams. The Intelligent Foundations and Experiences (IFX) team leads this effort, with hybrid on-site presence.

Qualifications

• Bachelor's or Master's in CS/AI/EE/CE with 4–6+ years of AI/ML experience.
• Proficient in Python or another modern programming language and strong software engineering practices.
• Experience designing, deploying and evaluating production AI/ML systems.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, and deploy AI software components (foundation models, LLMs, agents).
• Lead cost-performance governance and optimize GPU utilization and inference cost.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE

Master's degree in CS/AI/EE/CE

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 5 to help design and deploy responsible AI systems across banking products. You will work with engineers, scientists, PMs, and managers to build foundation model training, inference, agents, and multi-agent workflows.

The role emphasizes scalable AI infrastructure, performance optimization, governance, and collaboration with cross-functional teams. The Intelligent Foundations and Experiences (IFX) team leads this effort, with hybrid on-site presence.