About The Position

We are looking for a Lead 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.

Requirements

  • 10+ 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

Nice To Haves

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

Responsibilities

  • 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.
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