Senior AI Platform Engineer: LLMs, Agents & Scale

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 to build and deploy AI-powered products, including foundation model training and multi-agent workflows. The role collaborates with engineers, researchers, PMs, and product managers to advance AI platforms with responsible and scalable solutions.

You will optimize model performance, governance, and observability, while mentoring senior associates. The position offers opportunities across multiple major U.S. hubs and a comprehensive benefits package.

Qualifications

• Bachelor's degree in CS/AI/EE/CE or related field with 4+ years in AI/ML.
• Master's degree in CS/AI/EE/CE or related field with 2+ years in AI/ML.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI components including training, inference, agents, and governance.
• Leverage Open Source and SaaS AI tech such as AWS Ultraclusters, Huggingface, PyTorch, and more.
• Optimize foundation model performance in production for latency and cost.

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

AWS

Google Cloud

Azure

PyTorch

HuggingFace

VectorDBs

CUDA

Golang

Job description

Capital One is seeking an AI Engineer 4 to build and deploy AI-powered products, including foundation model training and multi-agent workflows. The role collaborates with engineers, researchers, PMs, and product managers to advance AI platforms with responsible and scalable solutions.

You will optimize model performance, governance, and observability, while mentoring senior associates. The position offers opportunities across multiple major U.S. hubs and a comprehensive benefits package.