Senior AI Engineer - Foundation Models (Remote)

Capital One; San Francisco (CA); Remote; USD 294,000 - 335,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to design, develop, and deploy AI software components, including foundation model training, inference, and multi-agent workflows. You will work with AWS, HuggingFace, PyTorch, and VectorDBs to optimize performance, latency, and cost across enterprise AI systems.

The role emphasizes responsible AI, observability, governance, and collaboration with engineers, researchers, and product managers to advance Capital One's AI capabilities.

Qualifications

• Bachelor's or Master's in CS/AI/EE/CE or related field with required experience
• 8+ years of experience with Python/Go/Scala/CUDA/Java
• Experience deploying AI/ML systems and cloud platforms

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components
• Leverage Open Source and SaaS AI technologies
• Architect and optimize foundation model training and inference
• Contribute to AI system roadmap and enterprise architecture
• Advance responsible AI practices and governance

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's Degree in Computer Science or related

Master's degree in Computer Science or related

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking a Staff AI Engineer to design, develop, and deploy AI software components, including foundation model training, inference, and multi-agent workflows. You will work with AWS, HuggingFace, PyTorch, and VectorDBs to optimize performance, latency, and cost across enterprise AI systems.

The role emphasizes responsible AI, observability, governance, and collaboration with engineers, researchers, and product managers to advance Capital One's AI capabilities.