Solution Architect (AI & Data Applications)

Job Description
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.

What You Will Do

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.

Qualifications
Your Background

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

Nice to Have

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