Administer and maintain Azure AI Foundry workspaces, environments, model catalogs, compute, and configurations.
Manage lifecycle operations for LLMs, embeddings models, and model deployments within the platform (excluding agent deployment).
Ensure reliability, scalability, and performance of AI Foundry environments across all stages (dev/test/prod).
Configure and maintain logging, tracing, telemetry, and usage dashboards.
Monitor performance, cost, quota consumption, and operational health of AI Foundry components.
Implement alerting and diagnostics to ensure platform stability.
Apply and maintain Azure RBAC, workspace governance, and access policies inside the platform.
Ensure consistency in workspace structure, permissions, and operational standards across teams.
Support internal teams in onboarding and safe platform usage.
Produce high quality documentation, runbooks, platform guides, and onboarding materials.
Assist internal teams in using AI Foundry capabilities effectively.
Provide hands on troubleshooting and support for platform adoption.

Practical, hands on experience managing Azure platforms in production environments.
Strong knowledge of Azure AI Foundry, Azure OpenAI, and related Azure AI/ML components.
Familiarity with LLM lifecycle management, platform operations, and governance.
Experience working autonomously within engineering or platform teams.
Strong communication skills and ability to assist internal teams.
Proven ability to produce clear and structured documentation.

Azure AI Foundry Platform Engineer

Key skills