Databricks: AI Automation Engineer — Costa Rica

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists AI Automation Engineer in Costa Rica, under reference 8829033002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Infrastructure
• Employer listing date: 13 October 2026

Responsibilities and work described

• Building: AI agents and automations: Design, deploy, and run AI agents that support all of our employees
• The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes
• Maintenance: MCP servers across our AI tools portfolio
• Building: 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 (policies, runbooks, system documentation, SOPs, etc)
• Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert 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 (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on
• Work: 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

Essential requirements and candidate background

• Proficiency: Python or Go [3yrs]
• Experience: Git-based development, automated testing, and CI/CD
• Experience: REST APIs, OAuth2/authentication frameworks, event-driven integrations, and enterprise system integrations
• Shipped production LLM-powered applications or AI agents
• Experience: agent patterns: tool/function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition
• Understanding: 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
• Translate ambiguous employee friction problems into simple, reliable technical solutions
• Judgment around security, privacy, least privilege, and safe automation in an enterprise environment
• Collaboration and communication skills
• Work cross-functionally to plan, design, and implement automation together
• Experience: automation or integration platforms (Tines, MuleSoft, Workato, etc.)
• Experience: MCP (Model Context Protocol) server development

Preferred experience and additional strengths

• Experience building agents on Databricks (Agent Bricks) or with frameworks such as OpenAI Agents SDK or LangGraph/LangChain
• Experience: MLflow tracing/evaluation, vector search, and LLM observability
• Experience integrating IT platforms: Okta/Microsoft Entra ID, Google Workspace, Jira, Slack, Jamf, GitHub, Workday, or SaaS administration APIs
• Familiarity: identity lifecycle, access management, device management, and software provisioning

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Costa Rica

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another AI Automation Engineer vacancy is not an offer for reference 8829033002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 8829033002.

Compare your qualifications and experience with the essential conditions for the Costa Rica position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• CI/CD
• MCP
• REST APIs
• APIs
• AI/ML
• LLMs
• Git
• Excel
• AI
• audit
• compliance
• communication