Design, deploy, and operate LLMOps pipelines for Retrieval‑Augmented Generation (RAG), including document ingestion, embedding generation, vector storage, retrieval strategies, prompt/version management, and evaluation, using Databricks (Delta Lake, MLflow, Model Serving) to ensure secure, auditable, and production‑grade GenAI systems. You will partner closely with Leadership, Data Engineers, and subject matter experts to productionize models using Databricks (Delta Lake, Unity Catalog, MLflow, Feature Store, Workflows) and modern DevOps practices across our cloud environments.