Senior AI Platform Engineer — Scalable, Responsible ML

Capital One; Richmond (VA); Hybrid; USD 286,000 - 327,000; Full time

Job summary

Capital One in Richmond, VA seeks a Sr. Staff AI Engineer to build scalable AI systems across enterprise platforms, focusing on foundation model training, large language model inference, agents, and governance.

You’ll work with cross-functional teams to deploy AI-powered products, optimize performance, and advance responsible AI practices at scale. The role requires deep expertise in Python/Go/Scala/CUDA/Java, and experience with AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.

Qualifications

• Bachelor's or Master’s degree in a relevant field with 8–10+ years of AI/ML experience.
• 10+ years of Python, Go, Scala, CUDA, or Java development experience.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including model training and inference.
• Leverage Open Source and SaaS AI tech such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch.
• Invent model optimization techniques to improve performance, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in CS/AI/EE/CE or related field

Master's degree in CS/AI/EE/CE or related field

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Guardrails

Job description

Capital One in Richmond, VA seeks a Sr. Staff AI Engineer to build scalable AI systems across enterprise platforms, focusing on foundation model training, large language model inference, agents, and governance.

You’ll work with cross-functional teams to deploy AI-powered products, optimize performance, and advance responsible AI practices at scale. The role requires deep expertise in Python/Go/Scala/CUDA/Java, and experience with AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.