AI Foundry Platform Engineer

AIS (Applied Information Sciences)
•$117,000 - $177,000

About The Position

AIS is seeking an AI Foundry Platform Engineer to build, secure, and operate the Azure Government AI platform that enables governed use of Azure AI Foundry and approved generative AI models. This engineer converts architecture into repeatable platform capabilities and reliable developer experiences.

Requirements

  • 5+ years of Azure engineering experience, including networking, identity, monitoring, and secure PaaS delivery.
  • Hands-on experience with Azure AI Foundry, Azure OpenAI, Azure Machine Learning, or similar AI application platforms.
  • Experience with Entra ID, managed identities, private endpoints, Key Vault, Log Analytics, and Azure Cost Management.
  • Ability to troubleshoot across application, network, identity, and cloud-platform layers.
  • Strong scripting or automation capability using PowerShell, Azure CLI, Python, or equivalent.

Nice To Haves

  • Azure Government or regulated-environment delivery experience.
  • Experience with LLM observability, AI safety controls, prompt management, or token governance.
  • Azure Administrator or Azure Developer certification.

Responsibilities

  • Configure and support Azure AI Foundry projects, model deployments, quotas, access controls, and telemetry.
  • Implement private networking, private endpoints, DNS, managed identities, Key Vault integration, and role-based access.
  • Build monitoring and reporting for usage, token consumption, capacity, cost allocation, safety events, and service health.
  • Support secure integration between AI services, developer tools, AVD/Codex access patterns, and approved enterprise systems.
  • Automate environment configuration and promote repeatable deployment patterns using approved infrastructure and release practices.
  • Create operational runbooks, troubleshooting guides, and knowledge-transfer materials for platform support teams.

Benefits

  • Employee Ownership
  • Continuous Learning
  • Inclusive Culture
  • Mission-Driven Work
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