Databricks Architect
Build and operate the enterprise AI Serving Layer that connects Global Pipelines, Gold
Layer data, Enterprise Serving Layers, documents, and knowledge assets to Copilots,
AI Agents, Semantic Search, and GenAI applications. Responsible for vectorization,
embeddings, retrieval, indexing, AI APIs, and RAG architecture required to make
enterprise data consumable by AI at scale. Requirement Specifications: Skill needed in the candidate –
Cosmos DB (NoSQL, Mongo API)
Azure AI Search & Vector Search
Azure OpenAI & Embeddings
RAG Architecture & Semantic Retrieval
Databricks, Spark, Python
FastAPI, API Development
AI Security & Governance
AI Serving Infrastructure & Operations
Terraform, Bicep, Git, CI/CD
RBAC, RLS, OLS, ABAC
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