Staff AI Engineer — Remote, Enterprise AI Systems

COMFORT SYSTEMS; Washington (District of Columbia); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is hiring a Staff AI Engineer (Remote Eligible) to design and deploy AI-powered software that enhances customer experiences and operational efficiency. You will work with engineers, scientists, and product managers to advance foundation models, inference, and multi‑model workflows.

The role emphasizes responsible AI, observability, and scalable architecture across enterprise teams, with remote work options and competitive compensation.

Qualifications

• Bachelor's or Master's in CS/AI/EE/CE or related field plus required years of experience.
• 8+ years in AI/ML algorithm development or related technologies.
• 8+ years programming in Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components.
• Leverage OSS and SaaS AI technologies to build scalable systems.
• Invent foundation model optimization techniques for performance and cost.
• Contribute to technical vision and roadmap for foundational AI systems.
• Set enterprise-wide AI architecture direction and standards.
• Own model routing, caching, and orchestration for hybrid workloads.
• Champion responsible AI principles and governance.
• Drive education and dissemination of best practices across teams.

Skills

Python

Go

Scala

CUDA

Java

Education

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

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

Tools

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is hiring a Staff AI Engineer (Remote Eligible) to design and deploy AI-powered software that enhances customer experiences and operational efficiency. You will work with engineers, scientists, and product managers to advance foundation models, inference, and multi‑model workflows.

The role emphasizes responsible AI, observability, and scalable architecture across enterprise teams, with remote work options and competitive compensation.