AI / GenAI Lead Databricks CoE

Own AI, ML, and GenAI capabilities on Databricks, building production-grade ML and LLM solutions using Databricks native features.

Key Responsibilities

• Design ML & GenAI architectures on Databricks

• Implement MLOps using MLflow, Feature Store, Model Registry

• Build RAG, embeddings, and LLM fine-tuning pipelines

• Use Databricks Vector Search and serving endpoints

• Create AI accelerators and reusable assets

• Support AI-focused Databricks presales and PoCs

Experience

• 8–12 years in ML / AI / Data Science

• 3–5 years building ML solutions on Databricks

• 2+ years hands-on with LLM-based solutions

Skills

• Databricks ML platform & MLflow

• Python, Spark ML, distributed training

• LLM frameworks (LangChain, HuggingFace)

• Feature engineering & model monitoring

• Responsible AI & governance basics

Certifications (Preferred)

• Databricks Machine Learning Professional