Senior GenAI Platform Engineer — Agentic Infrastructure

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 to help build and scale GenAI platforms and agentic infrastructure. You will partner with engineers, researchers, PMs, and designers to deliver AI-powered products for both associates and customers.

The role focuses on foundation models, LLM inference, and multi-model pipelines, leveraging AWS, HuggingFace, and PyTorch, while guiding governance and cost-performance efforts across large-scale AI systems.

Qualifications

• Bachelor's degree in CS/AI/EE or related with 6+ years experience or Master's with 4+ years.
• 6+ years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with cross-functional team to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components including LLM inference and orchestration.
• Invent state-of-the-art foundation model optimization techniques to improve performance, cost, and latency.

Skills

Python

Go

Scala

CUDA

Java

Education

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

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

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 5 to help build and scale GenAI platforms and agentic infrastructure. You will partner with engineers, researchers, PMs, and designers to deliver AI-powered products for both associates and customers.

The role focuses on foundation models, LLM inference, and multi-model pipelines, leveraging AWS, HuggingFace, and PyTorch, while guiding governance and cost-performance efforts across large-scale AI systems.