Lead AI Platform Engineer | LLM | AI Platform | Databricks

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The role is responsible for leading the technical direction of AI platform capabilities, ensuring scalable, secure, and reusable solutions that accelerate the adoption of artificial intelligence across the organization.

• Lead the evolution of enterprise AI platforms and shared AI capabilities.
• Define governance standards for the use of LLMs, AI Gateway, Skills, MCPs, and intelligent agents.
• Design reusable architectures, frameworks, and components to accelerate AI initiatives.
• Evaluate emerging technologies and contribute to the strategic roadmap for AI platform evolution.
• Establish MLOps standards, including MLflow practices, version control, and governance processes.
• Act as a technical reference for Analytics Engineers and teams consuming AI platform capabilities.
• Collaborate with Cybersecurity, Architecture, and Platform Engineering teams to ensure secure and compliant solutions.
• Mentor engineers and promote best practices in AI Platform Engineering.

Requirements:

The ideal candidate has strong experience building AI platforms and enterprise-grade solutions, combining technical depth with the ability to influence architecture decisions and guide teams.

• Solid experience with AI platforms and Large Language Models (LLMs).
• Proven experience building shared AI frameworks, libraries, or platforms.
• Strong Python development skills for AI solution engineering.
• Experience with AI Gateway, MLflow, MLOps, and Databricks AI.
• Knowledge of AI governance, security practices, and enterprise AI standards.
• Ability to define technical patterns and influence architectural decisions.
• English proficiency for collaboration in a global environment.
• Experience with LangChain, LangGraph, or intelligent agent frameworks is a strong advantage.
• Experience with Model Context Protocol (MCP) and AI Agents for enterprise environments is a plus.
• Knowledge of Unity Catalog, Data Governance, and cloud platforms such as Microsoft Azure is desirable.
• Certifications related to Microsoft Azure or Databricks are considered a differentiator.

Benefits:

The company offers a work environment focused on innovation, professional growth, and employee well-being, with benefits including:

• Profit-sharing and performance-based programs.
• Health and dental insurance.
• Flexible benefits card.
• TotalPass access.
• Access to wellness and mental health support programs.
• Language learning program.
• Partnership with educational institutions for professional development.
• Hybrid work model and flexible working hours.
• Internal training programs and structured career development plans.
• Mentorship opportunities.
• Extended parental leave.
• Childcare assistance.
• Continuous learning initiatives, including live coding sessions, coding dojos, discussion groups, and wellness activities.