Senior AI Platform Engineer — Remote Lead, AI Systems

Capital One; Santa Fe (NM); Remote; USD 286,000 - 327,000; Full time

Job summary

Capital One is seeking a Sr. Staff AI Engineer who can partner with cross-functional teams to bring AI-powered products to life. You will design and deploy AI software components, including foundation model training and multi-agent workflows, leveraging AWS, HuggingFace, PyTorch, and VectorDBs.

The role emphasizes responsible AI, performance optimization, and scalable production systems. A senior technical leader will mentor teams and contribute to enterprise AI governance and architecture.

Qualifications

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with 10+ years of AI/ML experience; or a Master's with 8+ years.
• At least 10 years of Python/Go/Scala/CUDA/Java programming experience.
• Experience architecting AI platforms with cost, latency, throughput tradeoffs and cloud deployment.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components (foundation models, LLM inference, agents, guardrails).
• Leverage Open Source and SaaS AI technologies (AWS, HuggingFace, PyTorch).
• Invent optimization techniques to improve performance and cost of large-scale AI systems.
• Contribute to the technical vision and long-term roadmap of AI systems.
• Define and steer the AI architecture vision for reliable, scalable production ecosystems.
• Lead establishment of AI safety, transparency standards across the company.
• Drive multi-year platform initiatives unifying data, compute, and model lifecycle management.
• Mentor senior tech leaders across research, data, and engineering.

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

GCP

Azure

PyTorch

HuggingFace

VectorDBs

Job description

Capital One is seeking a Sr. Staff AI Engineer who can partner with cross-functional teams to bring AI-powered products to life. You will design and deploy AI software components, including foundation model training and multi-agent workflows, leveraging AWS, HuggingFace, PyTorch, and VectorDBs.

The role emphasizes responsible AI, performance optimization, and scalable production systems. A senior technical leader will mentor teams and contribute to enterprise AI governance and architecture.