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Join Databricks as an AI Automation Engineer to build AI agents and automation services that enhance employee experience through intelligent IT interactions.
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees.
- Maintain MCP servers across our AI tools portfolio.
- Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows.
- Turn high-volume support CUJs into self-service experiences.
- Instrument AI automations with logs, metrics, and feedback loops.
- Create shared automation infrastructure that other teams can build on.
- Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities.
- Proficiency in Python.
- Experience with Git-based development, automated testing, and CI/CD.
- Strong experience with REST APIs, OAuth2/authentication frameworks, event-driven integrations, and enterprise system integrations.
- Shipped production LLM-powered applications or AI agents.
- Understanding of LLM failure modes.
- Strong collaboration and communication skills.
- Experience with automation or integration platforms (Tines, MuleSoft, Workato, etc.).
- Comprehensive benefits and perks that meet the needs of all employees.
- Commitment to diversity and inclusion in hiring practices.