The role involves leading the development of artificial intelligence, generative AI, and machine learning solutions tailored for health systems and health plans. Responsibilities include architecting production-grade RAG pipelines, agentic AI workflows, and MLOps frameworks to address complex healthcare challenges. The position requires managing global delivery teams and engaging with executive-level clinical and operational leaders to ensure measurable impact. Work focuses on translating ambiguous healthcare needs into scalable, production-grade solutions across areas such as clinical decision support and population health. Additionally, the role involves overseeing daily operations, model governance, and the continuous improvement of delivery processes.

Candidates must possess a Bachelor's degree and at least 12 years of experience, including 6-7 years specifically within a health system. Required expertise includes healthcare data science, health IT, and AI solution development. Applicants should demonstrate a proven record of success in managing development teams and delivering production-grade AI solutions in regulated environments. Proficiency in Python, cloud platforms, and MLOps practices is necessary to succeed in this role.