AI Engineer — GTM Analytics

Databricks is the Data and AI company, and this role sits on the GTM Analytics Engineering team, which builds the internal data and AI platform that Databricks' own go-to-market organization runs on. The team is 'Customer Zero' for Databricks, adopting the newest Databricks and AI tooling first in production. The role focuses on building the intelligence and application layers of the platform: Genie-powered analytics agents, LLM-driven workflows (feedback analysis, 'what's new' enablement, BRD-to-plan automation), and the Databricks Apps and Lakebase services that serve them.

• Build and ship features for AI-powered surfaces: Genie analytics agents, LLM-assisted feedback and enablement workflows, and in-app intelligence inside the GTM Hub.
• Develop and integrate agentic workflows — prompts, tools/MCP integrations, retrieval, and evaluation — that turn business questions into reliable, grounded answers.
• Write Python and SQL against the Databricks lakehouse (Unity Catalog, Delta) and Lakebase (Postgres) services.
• Use AI coding tools (Claude Code, agentic skills) as a core part of the workflow and help build reusable skills and harnesses.
• Contribute to evaluation and quality: measure and improve accuracy of AI outputs (eval sets, scorecards, regression checks).
• Partner with data engineers, app engineers, and strategy/ops stakeholders to take work from idea to production.
• Write clean, well-documented, tested code and participate in code review.

• Bachelor's degree in Computer Science, Data Science, or related field — or equivalent practical experience.
• 7+ years of software and AI engineering related experience.
• Solid fundamentals in Python and SQL.
• Hands-on exposure to LLMs / generative AI — prior work with APIs, prompts, RAG, knowledge graphs & agents.
• Genuine fluency with AI developer tools (e.g., Claude, Cursor).
• Strong problem-solving, curiosity, and a bias to ship and iterate.
• Clear written and verbal communication.

• Experience with the Databricks platform (AI Gateways, notebooks, jobs, Unity Catalog, Databricks Apps, Genie) or another cloud data platform.
• Building or evaluating agentic, RAG systems; familiarity with MCP, tool-calling, or eval frameworks.
• Full-stack exposure (React/TypeScript front end, FastAPI/Python back end) or data engineering (dbt, Spark, medallion architectures).
• Experience with Postgres/OLTP, CI/CD (Databricks Asset Bundles, GitHub Actions), or analytics/BI.

Environment: Databricks (AI Gateway, Unity Catalog, Delta, Jobs, Databricks Apps, Lakebase, Genie) · Python · SQL · React/TypeScript · FastAPI · Claude Code & agentic skills · GitHub + DABs CI/CD.

Compensation: Pay ranges are zone-based: Zone 1 $146,600—$201,650 USD; Zone 2 $132,000—$181,500 USD; Zone 3 $124,600—$171,400 USD; Zone 4 $117,300—$161,250 USD. Total compensation may include annual performance bonus, equity, and benefits.

About Databricks: Databricks is the Data and AI company, with more than 20,000 organizations worldwide relying on the Databricks Data + AI Platform. Headquartered in San Francisco with 30+ offices globally.

Benefits: Databricks offers comprehensive benefits and perks; specific details vary by region.