Hybrid Senior Manager, AI Engineering

Posted last week

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About the role

  • 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.
  • Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems.
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team.
  • Foster a culture of learning and staying abreast of the state-of-the-art in AI.

Requirements

  • 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 1 year of people leadership experience.
  • 3 years of experience managing and leading an engineering team (preferred).
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) (preferred).
  • 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 (preferred).

Benefits

  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

Job title

Senior Manager, AI Engineering

Job type

Experience level

Senior

Salary

$225,400 - $280,600 per year

Degree requirement

Bachelor's Degree

Location requirements

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