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Lead AI Engineer, Generative Product Development

4 weeks ago

Richmond, Virginia, United States Capital One Full time
Job Summary

Capital One is seeking an experienced Lead Generative AI Engineer to join our Enterprise AI team. As a key member of our team, you will design and implement APIs and SDKs to train, fine-tune, and access AI models at scale.

You will work closely with world-class AI engineers and researchers to build systems that enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs) using our public cloud infrastructure.

Key Responsibilities:

  • Architect, build, and deploy well-managed core APIs and SDKs to access LLMs and FMs, including training, fine-tuning, and prompting tasks.
  • Design APIs for performance, real-time applications, scale, ease of use, and governance automation.
  • Develop application-specific interfaces that leverage LLMs and FMs to enhance the associate and customer experience.
  • Enable our users to build new GenAI capabilities.
  • Develop tools and processes to monitor API access patterns and operational health.
  • Design and implement AI safety and guardrails in the API layer working closely with researchers.

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, or a technical field.
  • At least 6 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques.
  • At least 6 years of experience programming with Python, Go, Scala, or Java.
  • At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.

Preferred Qualifications:

  • Familiarity with building large-scale AI and ML products or platforms serving millions of users.
  • Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.
  • Experience with Kubernetes and KubeFlow workloads is preferred.
  • Familiarity with the Model Development Lifecycle and MLOps preferred.
  • Experience architecting cloud systems for security, availability, performance, scalability, and cost.
  • Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.
  • Experience at tech and product-driven companies/startups preferred.
  • Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.
  • Have experience with API security, observability, cloud access control, and privacy best practices.
  • Familiarity with deploying AI or ML models in demanding production environments.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.