Develop, integrate, and maintain AI solutions in production, ensuring technical reliability, compliance with internal governance, and enabling business areas to use AI autonomously and responsibly.
Build AI agents using Databricks (Knowledge Assistant, MLflow) and automations via n8n.
Version prompts and configurations in the GitHub Enterprise repository following a GitOps workflow.
Ensure availability, performance, and traceability of production solutions.
Conduct A/B tests, quality evaluations, and version rollbacks when necessary.
Design and maintain integrations with the OpenAI, Claude, Lovable, Azure OpenAI APIs, and corporate systems (SAP, CRM, SharePoint).
Manage credentials and secrets via Databricks Secret Scope, eliminating hardcoded keys.
Document endpoints, API keys, permission scopes, and the timeline for each integration.
Support the corporate API Gateway and ensure a formal Change Request for each new integration.
Assist business areas in evaluating, prototyping, and deploying solutions — providing guidance on when to choose ChatGPT, Databricks, or Lovable.
Review and approve custom GPTs created by Spokes before publication.
Conduct technical training sessions and onboarding for new tools.
Configure logs, alerts, and usage metrics for AI solutions.
Support collection of OpenAI audit logs for Dexco's SIEM.
Participate in semiannual internal audits and support any external audits.
Ensure solutions follow the ethical checklist: bias, explainability, impact on people, and compliance with LGPD (Brazilian General Data Protection Law).
Participate in the AI Center of Excellence (COE) for technical compliance reviews and risk assessment of new solutions.
Maintain an up-to-date inventory of solutions, models, versions, and responsible owners.
Contribute to the evolution of the governance framework and responsible-use policies.
Requirements
Bachelor's degree or higher.
Experience with REST API integrations in a corporate environment (authentication, rate limits, retry logic).
Knowledge of n8n or an equivalent automation tool (Make, Zapier in an enterprise context).
Familiarity with Microsoft 365: Graph API, SharePoint, Teams, Power BI.
Databricks: MLflow, Delta Lake, Knowledge Assistant, PySpark.
LLM APIs: OpenAI, Azure OpenAI — experience with function calling, streaming, and context management.
Advanced Python: development of pipelines, consumption of REST APIs, error handling, and logging.
SQL: complex queries, optimization, and data modeling.