You build the full-stack components that power Innovation Crew pilots and prototypes. Under the technical direction of the Principal AI Engineer, in close collaboration with the AI Experience Engineer, you write the backend services, API integrations, data connectors, and frontend implementations that turn AI architectures into working systems. This role has a high ceiling and a fast runway: you will be working alongside engineers at the frontier of AI application development, with hands-on exposure to frontier model APIs, agentic frameworks, Power Agents library development, and JD Power's core data infrastructure. You arrive with strong engineering fundamentals and a genuine appetite for AI systems. You gain deep, production-proven agentic engineering experience. In your first 30 days, you will have your first feature shipped inside a PoC sprint and the codebase oriented. By day 60, you will have your first Power Agents contribution reviewed and merged. By day 90, you will have full implementation ownership of at least one PoC component. 

How we Build Agents: 

The Innovation Crew builds alongside its own AI agent workforce. As AI Engineer, you will contribute to building and maintaining those agents: writing the tool integrations, evaluation harnesses, and API connectors that give agents access to JD Power's data and systems. You learn to build for observability from day one - every agent pattern you ship is instrumented, testable, and inspectable. The bar here is not "it worked in the demo" but "it behaves predictably, and we can prove it." When a pattern proves reliable, you contribute it to the Power Agents library, where 400+ engineers & knowledge workers can build on it.