Senior Staff AI Engineer — Remote Eligible

Capital One; Salem (OR); Remoto; USD 286.000 - 327.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Senior Staff AI Engineer (Remote Eligible) to lead development of responsible AI systems. You will work with cross-functional teams to build and optimize AI solutions, including foundation models, inference, agents, and vector databases.

You will shape architecture, governance, and long-term AI roadmaps while mentoring senior engineers. The role offers remote eligibility and requires extensive AI/ML experience, with strong emphasis on production-grade systems, safety,

Competenze

• Bachelor’s or Master’s degree in a related field with years of AI/ML experience as specified.
• 10+ years programming with Python, Go, Scala, CUDA, or Java.

Mansioni

• Partner with cross-functional teams to deliver AI-powered products for associates and customers.
• Design, develop, test, deploy, and support AI software components and workflows.
• Leverage Open Source and SaaS AI technologies to build scalable AI systems.
• Invent and apply foundation model optimization techniques for performance and cost.
• Lead architecture vision and governance for enterprise AI platforms.
• Mentor senior technical leaders across research, data and engineering.

Conoscenze

Python

Go

Scala

CUDA

Java

AI platforms

Cloud

Formazione

Bachelor's Degree in Computer Science / AI / Electrical Engineering / Computer Engineering

Master's Degree in Computer Science / AI / Electrical Engineering / Computer Engineering

Strumenti

AWS Ultraclusters

Huggingface

VectorDBs

PyTorch

Descrizione del lavoro

Capital One is seeking a Senior Staff AI Engineer (Remote Eligible) to lead development of responsible AI systems. You will work with cross-functional teams to build and optimize AI solutions, including foundation models, inference, agents, and vector databases.

You will shape architecture, governance, and long-term AI roadmaps while mentoring senior engineers. The role offers remote eligibility and requires extensive AI/ML experience, with strong emphasis on production-grade systems, safety,