Senior AI Systems Engineer, Foundations & Scale

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

Job summary

Capital One is seeking an AI Engineer 4 (MLX) to build responsible AI systems, partnering with engineers, scientists, and product teams. The role covers foundation model training, LLM inference, and multi-agent workflows, leveraging PyTorch, VectorDBs, and open-source tools.

A strong emphasis on governance, observability, and scalable AI infrastructure guides day-to-day work. The candidate will mentor more senior team members, contribute to the technical roadmap, and ensure security, data

Qualifications

• Bachelor's or Master's in CS/AI/EE/CE with required years of AI/ML experience
• 4+ years of programming in 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 foundation models and inference pipelines.
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch.
• Invent and implement foundation model optimization techniques to improve performance, cost, latency, and scalability.

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

HuggingFace

PyTorch

VectorDBs

Job description

Capital One is seeking an AI Engineer 4 (MLX) to build responsible AI systems, partnering with engineers, scientists, and product teams. The role covers foundation model training, LLM inference, and multi-agent workflows, leveraging PyTorch, VectorDBs, and open-source tools.

A strong emphasis on governance, observability, and scalable AI infrastructure guides day-to-day work. The candidate will mentor more senior team members, contribute to the technical roadmap, and ensure security, data