Lead AI Platform Engineer
New
J
JobgetherAI Platform Engineering
BrazilFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonMicrosoft AzureMLFlowDatabricksMLOpsLangChain
Requirements
- 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.
Responsibilities
- 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.
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