Senior AI Platform Architect — Gen AI Systems

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

Job summary

Capital One is seeking a Sr. Lead AI Engineer (Gen AI Platform Services) in McLean, VA to build responsible, reliable AI systems and scalable AI infrastructure.

You will work with a cross-functional team to design, develop, and deploy AI software components, including foundation model training and LLM inference, leveraging a broad stack of Open Source and SaaS AI technologies. The role emphasizes leadership, mentorship, and staying ahead of AI research, with a focus on producing high-impact,

Qualifications

• Bachelor’s or Master’s degree with required AI/ML experience.
• 6+ years programming in Python, Go, Scala, or Java.
• Experience deploying scalable AI on cloud platforms.
• Ability to lead and mentor an engineering team.
• Strong communication and cross-functional collaboration.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components.
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques for production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Skills

Python

Go

Scala

Java

Leadership

Communication

Education

Bachelor’s degree in CS/AI/EE/CE or related fields

Master’s degree in CS/AI/EE/CE or related fields

Tools

AWS

Huggingface

VectorDBs

Nemo Guardrails

PyTorch

Job description

Capital One is seeking a Sr. Lead AI Engineer (Gen AI Platform Services) in McLean, VA to build responsible, reliable AI systems and scalable AI infrastructure.

You will work with a cross-functional team to design, develop, and deploy AI software components, including foundation model training and LLM inference, leveraging a broad stack of Open Source and SaaS AI technologies. The role emphasizes leadership, mentorship, and staying ahead of AI research, with a focus on producing high-impact,