Solution Architect; AI & Data

The Mission

We are looking for a Solution Architect to drive the development of next-generation AI-powered web applications. You will bridge the gap between Databricks data platforms and modern web architectures, building intelligent, production-ready applications that integrate LLMs, real-time data, and scalable cloud infrastructure. This role combines architecture leadership with hands‑on full-stack development, helping shape our transition toward Databricks Apps and serverless AI solutions.

• Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data.
• Design end-to-end web solutions from frontend to backend.
• Implement RAG pipelines, model serving, and AI agents in production.
• Lead cross-functional teams (Full-stack, AI, Data).
• Build and maintain backend services in Python and integrate them with React or Angular frontends.
• Translate business requirements into scalable technical solutions.
• Ensure quality through testing, CI/CD, and cloud-native best practices.

• 7+ years in software engineering, designing distributed systems
• Strong full-stack experience (React + FastAPI)
• Sharp product vision and UX/UI intuition
• Expert-level Python
• Hands‑on experience with LLMs, vector databases, or RAG architectures
• Familiarity with Docker, CI/CD pipelines, and relational databases

• Experience with Databricks (Lakebase, MLflow, Unity Catalog)
• Experience with GenAI frameworks (Lang Chain, Auto Gen)
• Experience with Node.js full-stack
• Experience leading multi-disciplinary engineering teams