Senior Staff AI Engineer - Remote Platform & Safety Leader

COMFORT SYSTEMS; Providence (RI); Remote; USD 286,000 - 392,000; Full time

Job summary

Capital One seeks a Senior Staff AI Engineer to design and ship AI-powered platforms. This remote-eligible role partners with cross-functional teams to build scalable foundation models, inference services, and agent workflows, leveraging PyTorch, Huggingface, VectorDBs, and AWS tools.

You will mentor technical leaders, help set governance and safety standards, and drive multi-year platform initiatives across data, compute, and model lifecycle management in a large-scale enterprise AI

Qualifications

• Bachelor's degree plus 10+ years of AI/ML experience or Master’s plus 8+ years
• At least 10 years of experience programming with 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 Open Source and SaaS AI tech such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
• Invent and optimize foundation model techniques for better performance
• Contribute to long-term AI architecture roadmaps and governance
• Define AI architecture vision and scalable deployment strategies
• Lead AI performance, safety, and transparency standards
• Drive multi-year platform initiatives unifying data, compute, and model lifecycle
• Mentor senior technical leaders across research, data and engineering

Skills

AI platform design

Cross-functional leadership

Python

Go

Scala

CUDA

Java

ML algorithms

LLM inference

Vector databases

Education

Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

PyTorch

Huggingface

AWS Ultraclusters

VectorDBs

CUDA

Job description

Capital One seeks a Senior Staff AI Engineer to design and ship AI-powered platforms. This remote-eligible role partners with cross-functional teams to build scalable foundation models, inference services, and agent workflows, leveraging PyTorch, Huggingface, VectorDBs, and AWS tools.

You will mentor technical leaders, help set governance and safety standards, and drive multi-year platform initiatives across data, compute, and model lifecycle management in a large-scale enterprise AI