AI Engineer Director, Cloud AI Platform

5 days ago


San Francisco, California, United States Capital One Full time

At Capital One, we are pushing the boundaries of AI innovation, transforming banking for the better.

About This Role

We are seeking an exceptional Senior Lead AI Engineer to join our Intelligent Foundations and Experiences (IFX) team. As a key member of this high-performing team, you will partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that revolutionize how our associates work and how our customers interact with Capital One.

Main Responsibilities:

  • 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.
  • 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, and throughput of large-scale production AI systems.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

The Ideal Candidate:

  • You have a passion for building systems, take pride in the quality of your work, and share our commitment to doing what's right. You want to work on problems that will change banking for the better.
  • You stay abreast of the latest research and can intuitively understand scientific publications, applying novel techniques in production with judiciousness.
  • You adapt quickly, thrive on bringing clarity to big, undefined problems, and can articulate your findings concisely with clarity. You have the courage to share new ideas, even when they are unproven.
  • You possess a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that enables you to see and exploit optimization opportunities others miss.
  • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

What We Offer:

  • A competitive salary: $175,000 - $250,000 per year, based on experience and qualifications.
  • A dynamic and supportive work environment that fosters growth and collaboration.
  • Ongoing training and development opportunities to enhance your skills and expertise.
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or AI, plus at least 6 years of experience developing AI and ML algorithms or technologies, or Master's degree 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.
  • PREFERRED QUALIFICATIONS:
    • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms.
    • 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 using Python, C++, C#, Java, or Golang.
    • Master's degree in Computer Science, Computer Engineering, or relevant technical field.
    • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
    • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
    • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Capital One is committed to diversity, equity, and inclusion. We welcome qualified applicants from all backgrounds and perspectives.



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