Lead AI Platform Engineer

📋 Description

• Lead the evolution of enterprise AI platforms and shared AI capabilities.
• Define governance standards for LLMs, AI Gateway, Skills, MCPs, and agents.
• Design reusable architectures and components to accelerate AI initiatives.
• Establish MLOps standards including MLflow, version control, governance.
• Act as a technical reference for Analytics Engineers.
• Collaborate with Cybersecurity and Architecture teams for secure, compliant solutions.

🎯 Requirements

• Solid experience with AI platforms and LLMs.
• Proven experience building shared AI frameworks or platforms.
• Strong Python development for AI solutions.
• Experience with AI Gateway, MLflow, MLOps, and Databricks AI.
• Knowledge of AI governance and security practices.
• Ability to define patterns and influence architecture.

🎁 Benefits

• Profit-sharing and performance-based programs.
• Health and dental insurance.
• Flexible benefits card.
• Language learning program.
• Hybrid work model and flexible working hours.
• Mentorship opportunities.