Full-Time Lead Engineer - Generative AI Product Engineering

We are looking for an experienced Lead Generative AI Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure.  You will work with a team of world-class AI engineers and researchers  to design and implement key API products and services that enable real-time customer-facing applications.  Examples of projects you will work on include: 

• Architect, build and deploy well-managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine-tuning and prompting tasks, including orchestration SDKs. 
• Design APIs for performance, real-time applications, scale, ease of use and governance automation. 
• Develop application-specific interfaces that leverage LLMs and FMs to continue 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. 

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

• 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 years of experience building, scaling, and optimizing training or inferencing systems for  deep neural networks 

Preferred Qualifications:

• Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. 
• 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.
• Familiarity with deploying large neural network models in demanding production environments. 
• Have experience with API security, observability, cloud access control and privacy best practices. 

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.