Staff AI Engineer (Remote) — Scalable, Responsible AI

Capital One; Phoenix (AZ); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff AI Engineer to help design, build, and operate large-scale AI systems powering banking experiences. This remote-eligible role partners with cross-functional teams to advance foundation models, inference, and deployment using a mix of Open Source and SaaS AI technologies.

The ideal candidate contributes to responsible AI, performance optimization, and governance, while mentoring others and shaping enterprise AI standards across Capital One.

Qualifications

• Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
• At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large-scale production AI systems.
• Contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.
• Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams
• Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads
• Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds

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

Huggingface

PyTorch

VectorDBs

Job description

Capital One is seeking a Staff AI Engineer to help design, build, and operate large-scale AI systems powering banking experiences. This remote-eligible role partners with cross-functional teams to advance foundation models, inference, and deployment using a mix of Open Source and SaaS AI technologies.

The ideal candidate contributes to responsible AI, performance optimization, and governance, while mentoring others and shaping enterprise AI standards across Capital One.