About the role : This is not an ETL role. We are looking for a hands-on lead to build data applications and AI assistants that run natively on Databricks for enterprise clients: query and lookup screens built with Databricks Apps, natural-language querying with AI/BI Genie, and retrieval-augmented assistants over large document repositories using Vector Search and Model Serving. You will own the solution end to end: architecture, build, security model, client conversations, and a small delivery team. If your Databricks experience is mostly pipelines and Medallion layers, this role will not be a fit. If you have shipped Databricks Apps and Genie Spaces to real users and built production RAG, we want to talk. What you will do Lead the architecture and delivery of Databricks-native applications: Databricks Apps (Python or React/Type Script), Databricks SQL Warehouse, Unity Catalog, Volumes Design and tune AI/BI Genie Spaces for accurate natural-language querying over governed data Build document intelligence pipelines: extraction and OCR at scale, chunking, embeddings,



Databricks Vector Search indexes with incremental refresh Implement agents with the Mosaic AI Agent Framework and Model Serving, including hybrid retrieval across structured and unstructured data with citations Enforce security by design: SSO, Unity Catalog RBAC, permission filtering before LLM grounding, audit logging Run requirement workshops with client stakeholders, estimate effort, and plan and track delivery milestones Mentor engineers and review their work What we are looking for8+ years in data or software engineering, including 3+ years hands-on with Databricks and Unity Catalog At least one Databricks App shipped to production users Hands-on experience configuring and tuning AI/BI Genie Spaces Production RAG delivered end to end: chunking strategy, metadata filtering, vector index maintenance, retrieval quality evaluation Databricks Vector Search, Model Serving, Foundation Model APIs, Mosaic AI

📌 Lead Databricks Ai Engineer (Shivamogga)
🏢 Namasys Analytics
📍 Shivamogga