Insight Global
Franklin, TN
Job Description Our client is looking for AI Engineers to build and scale in-house, production-grade AI solutions supporting healthcare use cases across Utilization Management, suicide risk assessment, hospital census, compliance, and risk intelligence. The role is intentionally weighted ~70% toward agentic and generative AI solutions (multi-step, tool-using agents and RAG systems) and ~30% toward traditional machine learning, used selectively for prediction, forecasting, anomaly detection, and mathematical modeling where LLMs are not appropriate. In this role, you will design and implement complex RAG pipelines and agentic workflows, build backend AI services in Python, and integrate data across Snowflake, Azure, and legacy healthcare systems. You'll focus heavily on data cleansing, reliability, and evaluation, owning solutions end-to-end from raw data and retrieval to production deployment We are a company committed to creating diverse and inclusive environments where...