# AI Automation Engineer

**Company**: Databricks
**Location**: Costa Rica
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8829033002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_15d819b7-a97

## Description

We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks.

You will build 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.

## Responsibilities

- Design, deploy, and run AI agents that support all employees, interpreting natural-language requests, gathering context, selecting tools, executing actions, and communicating outcomes.

- Maintain MCP servers across the AI tools portfolio.

- Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows.

- Ground agents in trusted internal knowledge, such as policies, runbooks, system documentation, and SOPs.

- Convert high-volume support CUJs into self-service experiences by identifying repetitive, high-friction IT interactions and converting them into reliable AI automation experiences.

- Instrument AI automations with logs, metrics, and feedback loops.

- Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling.

- Create shared automation infrastructure, such as credential vaults, event ingestion, scheduling, approval workflows, and cache/state stores, that other teams can build on.

- Collaborate with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production.

- Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural decisions.

## 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.

- Experience shipping production LLM-powered applications or AI agents.

- Experience with agent patterns, such as tool/function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition.

- Understanding of LLM failure modes, such as 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, such as Tines, MuleSoft, Workato, etc.

- Experience with MCP server development.

## Nice to Have

- Experience building agents on Databricks (Agent Bricks) or with frameworks such as OpenAI Agents SDK or LangGraph/LangChain.

- Experience with MLflow tracing/evaluation, vector search, and LLM observability.

- Experience integrating IT platforms, such as Okta/Microsoft Entra ID, Google Workspace, Jira, Slack, Jamf, GitHub, Workday, or SaaS administration APIs.

- Familiarity with identity lifecycle, access management, device management, and software provisioning.

## Benefits

We offer comprehensive benefits and perks that meet the needs of all our employees.

## Skills

### Required
- Python
- Git-based development
- REST APIs
- OAuth2/authentication frameworks
- event-driven integrations
- enterprise system integrations
- LLM-powered applications
- agent patterns
- automated evals
- traces
- test datasets
- human feedback

### Nice to have
- Experience building agents on Databricks (Agent Bricks)
- OpenAI Agents SDK
- LangGraph/LangChain
- MLflow tracing/evaluation
- vector search
- LLM observability
- Okta/Microsoft Entra ID
- Google Workspace
- Jira
- Slack
- Jamf
- GitHub
- Workday
- SaaS administration APIs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8829033002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)