The Principal AI Engineering Data Scientist leads AI engineering efforts and responsible for building high performing, continuously improving, value adding agents using key techniques such as Evaluations, Observability, and appropriate drift monitoring metrics. You will define and enforce reference architectures and standards for agent frameworks, tool APIs, prompt/version management, and deployment patterns. You will work with a highly technical team ensuring agent designs meet requirements for reliability, latency, cost efficiency, and maintainability in production environments leveraging data science techniques.