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Capital One

Senior Lead AI Engineer, Inference Optimization, FM Hosting, AI Platform

Capital One

Sr. Lead AI Engineer at Capital One focusing on AI-powered product development and optimization.

Posted 6/3/2026full-timeSan Jose • California, New York, Virginia • 🇺🇸 United StatesSenior💰 $229,900 - $286,200 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact
  • 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, 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, Nemo Guardrails, PyTorch, and more.
  • Invent and introduce state-of-the-art LLM 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.

Requirements

What you’ll need
  • Bachelor'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, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
  • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Performance based incentive compensation
  • Cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI algorithmsML algorithmsPythonGoScalaJavaC++C#large language model inferencesimilarity search
Soft Skills
leadershipmentoringcommunicationpresentationinfluencing stakeholders
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Science