AI Automation Engineer

Role Overview

We’re hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You’ll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely.

What You Will Do

Build AI agents and automations, maintain MCP servers, build agentic workflows, ground agents in trusted internal knowledge, turn high-volume support CUJs into self-service experiences, instrument AI automations, design and implement AI automations, create shared automation infrastructure, work with IT teams, write and maintain technical documentation.

Why It Might Be a Fit

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, experience with agent patterns, understanding of LLM failure modes, ability to translate ambiguous employee friction problems into simple, reliable technical solutions, strong judgment around security, privacy, least privilege, and safe automation in an enterprise environment, strong collaboration and communication skills.

Requirements

• 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
• Experience with agent patterns: tool/function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition
• Understanding of LLM failure modes: hallucination, incorrect tool use, ambiguous intent, prompt injection, excessive permissions, and non-deterministic behavior
• Experience evaluating and improving AI systems using automated evals, traces, test datasets, human feedback, or similar approaches
• Ability to translate ambiguous employee friction problems into simple, reliable technical solutions
• Strong judgment around security, privacy, least privilege, and safe automation in an enterprise environment
• Strong collaboration and communication skills
• Experience with automation or integration platforms (Tines, MuleSoft, Workato, etc.)
• Experience with MCP (Model Context Protocol) server development

Benefits

• Comprehensive benefits and perks
• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays

Tagged as: Python, Workato