Lead architecture and implementation of the AI-first backend and agent platform. Build scalable Python services (FastAPI), design APIs, own semantic data layer (Postgres, dbt, pipelines, caching), integrate LLMs/agents (RAG, function calling, guardrails), set standards for observability and reliability, prototype rapidly with product and FDEs, mentor engineers, and drive technical direction and adoption metrics.

Build and operate scalable Python backend services (FastAPI, pydantic) powering forecasting, optimization, and agentic workflows. Design APIs, semantic data layer (Postgres, dbt), pipelines, caching, and LLM/agent integrations (Claude, RAG, function calling). Prototype quickly with product teams and FDEs, ensure observability, robustness, and product impact while balancing speed, scalability, and maintainability.