Remote Senior AI Systems Architect

Capital One Group; Dover (DE); Remote; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Sr. Staff AI Engineer to lead foundational AI systems and production-grade AI platforms. You will partner with engineers, researchers, PMs, and data scientists to design, deploy and scale AI components, including model training, inference, and governance.

The role emphasizes responsible AI, performance optimization, and enterprise-wide architecture leadership. You will mentor senior technical leaders, influence long-term AI strategies, and help unify data, compute, and

Qualifications

• Bachelor’s or Master’s in CS/AI/related fields with extensive AI/ML experience
• 10+ years programming with Python or equivalent languages
• Experience architecting AI platforms with tradeoffs around cost, latency and throughput
• Experience deploying scalable AI on cloud platforms (AWS/GCP/Azure)
• Ability to lead and mentor multiple engineering teams and influence stakeholders

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 tech such as AWS Ultraclusters, Huggingface, PyTorch
• Invent foundation model optimization techniques for production AI systems
• Contribute to the technical vision and long-term AI architecture at Capital One
• Define and steer AI architecture vision with reliability and scale
• Lead AI performance, safety, and governance standards across the company
• Drive multi-year platform initiatives unifying data, compute and model lifecycle

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 Ultraclusters

Huggingface

VectorDBs

PyTorch

Job description

Capital One is seeking a Sr. Staff AI Engineer to lead foundational AI systems and production-grade AI platforms. You will partner with engineers, researchers, PMs, and data scientists to design, deploy and scale AI components, including model training, inference, and governance.

The role emphasizes responsible AI, performance optimization, and enterprise-wide architecture leadership. You will mentor senior technical leaders, influence long-term AI strategies, and help unify data, compute, and