Lead AI Engineer
Job Description
Lead AI Engineer at Capital One responsible for designing, deploying, and optimizing AI software components and large-scale production AI systems within the Intelligent Foundations and Experiences (IFX) team.
Responsibilities
- Collaborate with a cross-functional group of engineers, research scientists, technical program managers, and product managers to deliver AI driven products that transform how associates work and how customers interact with Capital One.
- Design, implement, test, deploy, and maintain 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.
- Devise and apply state-of-the-art LLM optimization techniques to improve scalability, cost efficiency, latency, and throughput for large-scale production AI systems.
- Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field with at least 4 years of AI/ML development experience; or a Master's degree in the same fields with at least 2 years of AI/ML development experience.
- At least 4 years of programming experience with Python, Go, Scala, or Java.
Technologies
- AWS Ultraclusters
- Huggingface
- VectorDBs
- Nemo Guardrails
- PyTorch
- AWS
- Google Cloud
- Azure
- Python
- Go
- Scala
- Java
- C++
- C#
Benefits
- This role is eligible for performance based incentive compensation, which may include cash bonuses and/or long term incentives (LTI). Incentives can be discretionary or non discretionary depending on the plan.
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits to support total well-being.
Team description
- The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's AI efforts, collaborating with partners across the company to advance the state of the art in AI science and engineering.
- We design and deploy proprietary AI models and platforms that are central to the business and deliver value to millions of customers.
- Our AI solutions empower teams across Capital One to enhance products with the transformative power of AI in a scalable, responsible way.
The ideal candidate
- You love building systems, take pride in code quality, and are motivated to do the right thing, tackling problems that can help change banking for good.
- You stay current with the latest research, can interpret scientific publications, and judiciously apply novel techniques in production.
- You adapt quickly, bring clarity to large, undefined problems, ask questions, and dig deep to uncover root causes; you articulate findings clearly and are willing to share new ideas even when unproven.
- You are deeply technical with a strong foundation in engineering and mathematics, and your expertise across hardware, software, and AI lets you spot opportunities for optimization others miss.
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.