AI Engineer - Database Engineering

US-CA-Menlo Park💼 Full-time🗓 2026-05-27 → 2026-09-25

Core

Build agentic workflows, coding harnesses, and evaluation pipelines for the Snowflake core database engine to accelerate roadmap cycles.

Role type

Senior AI Engineer (Database Engineering)

Builds

Agentic workflows, coding harnesses, evaluation pipelines, enterprise-grade context engineering

Domain

Database Engineering + AI/LLM

Deliverable

production ML models | product features

Required skills

Python, TypeScript, Go, AI feature lifecycle management, prompt engineering, evaluation design, system design

Preferred skills

Data engineering pipelines (dbt, Airflow), data modeling, RAG, semantic layers, LLM observability, safety guardrails

Technologies

Python, TypeScript, Go, dbt, Airflow

Responsibilities

Own features end-to-end for Snowflake Database Engineering products; Build enterprise-grade context engineering including function calling and guardrails; Design evals and hillclimb experiments; Partner with product and infra teams to productionize improvements

Seniority

Senior, hands-on IC

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About Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowf