Solutions Architect

📋 Description

• Lead end-to-end deployment of AI applications on the Databricks Apps platform, from architecture
• Architect serverless-first solutions that leverage Databricks Apps to eliminate external hosting
• Design and integrate AI agents (e.g., Retrieval-Augmented Generation / RAG patterns) using
• Establish data governance through Unity Catalog for centralized access control, lineage, and
• Enable efficient data access by integrating applications with Databricks SQL for querying large
• Implement secure authentication using OAuth and platform-native identity and authorization patterns.

🎯 Requirements

• Designing and optimizing queries against large datasets.
• Implementing secure authentication and authorization flows.
• Deploying and scaling ML models and LLM agents via serving endpoints.
• RAG architectures and frameworks such as LangChain and/or LlamaIndex.
• Logging, testing, debugging, and monitoring agents and models.
• FastAPI, Flask, Streamlit, Dash, or Gradio; front-end experience with React or a comparable modern