Senior AI Engineer - Foundation Models & Platform

Capital One

Cambridge (MA)

On-site

USD 197,000 - 225,000

Full time

8 days ago
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Job summary

Capital One is actively building responsible AI systems that empower teams to deploy foundation models, agents, and inference pipelines. We partner across engineering, research, and product management to bring AI to millions of customers through real-time, personalized experiences on a secure platform.

The Intelligent Foundations and Experiences team drives state-of-the-art AI engineering at Capital One, focusing on governance, observability, and scalable performance while mentoring engineers

Qualifications

  • Bachelor's degree in CS/AI/EE with 4+ years of AI/ML experience or Master's with 2+ years.
  • Proficiency in Python, Go, Scala, CUDA, or Java.
  • Experience leading AI systems with tradeoffs on cost, latency, throughput, and accuracy.
  • 6 years of experience deploying AI on cloud platforms (AWS, GCP, Azure).
  • Experience designing, delivering, and supporting AI services.
  • Experience with agentic AI systems and workflows.
  • Strong foundation in engineering and math; optimization opportunities.

Responsibilities

  • Deliver AI-powered products that change how associates work and how customers interact with Capital One.
  • Design, develop, test, deploy, and support AI software components including foundation models and agents.
  • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch.
  • Invent optimization techniques to improve performance, cost, latency, throughput for large-scale AI systems.
  • Own end-to-end architecture for complex AI systems with maintainability and observability.
  • Define and maintain SLOs for AI reliability.

Skills

Python
Go
Scala
CUDA
Java
C++

Education

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

Tools

AWS Ultraclusters
Huggingface
VectorDBs
PyTorch

Job description

Capital One is actively building responsible AI systems that empower teams to deploy foundation models, agents, and inference pipelines. We partner across engineering, research, and product management to bring AI to millions of customers through real-time, personalized experiences on a secure platform.

The Intelligent Foundations and Experiences team drives state-of-the-art AI engineering at Capital One, focusing on governance, observability, and scalable performance while mentoring engineers

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