
Cloud AI Governance Engineer
2 weeks ago
We're building a multi-tenant AI-governance platform on Microsoft Azure. The successful candidate will design and implement secure, scalable services; integrate Azure ML Responsible AI tooling and Microsoft Purview; and enforce policy guardrails with Azure Policy.
This is a challenging role that requires expertise in cloud services, API Management, App Service or AKS, Functions, Key Vault, and Azure Monitor/Log Analytics.
The candidate should have experience with Azure ML (endpoints/registry) and RAI tooling or equivalent ML governance stack.
Required Skills and Qualifications- 5+ years building cloud services (preferably Azure) with multi-tenant architectures.
- Hands-on experience with API Management, App Service or AKS, Functions, Key Vault, Azure Monitor/Log Analytics.
- Experience with Azure ML (endpoints/registry) and RAI tooling or equivalent ML governance stack.
- Proficiency in C#/.NET or Node.js/TypeScript or Python; SQL/Cosmos; CI/CD (GitHub Actions/Azure DevOps).
- Security/Compliance fundamentals: RBAC, Private Endpoints, encryption at rest/in transit; Azure Policy.
- Ship a secure tenant onboarding flow (RBAC + data partitioning).
- Stand up APIM + first governance microservice with Content Safety checks.
- Register a sample model in Azure ML, attach Responsible AI reports, and stream lineage to Purview.
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