Lead Engineer, Generative AI Product Engineering

9 hours ago

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

We are seeking an experienced Lead Generative AI Engineer to join our Enterprise AI team at Capital One. As a key member of our team, you will be responsible for designing and implementing key API products and services that enable real-time customer-facing applications.

Key Responsibilities
  • Architect, build, and deploy well-managed core APIs and SDKs to access Large-Language Models (LLMs) and Foundation Models (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 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.
What We Offer

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.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth, or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state, or local law.

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