
Cloud Governance Engineer
2 days ago
We're seeking a skilled professional to lead the development of a cutting-edge AI-governance platform on Microsoft Azure. The ideal candidate will design and implement secure, scalable services; integrate Azure ML Responsible AI tooling and Microsoft Purview; and enforce policy guardrails with Azure Policy.
The role requires a strong understanding of cloud architecture, security, and compliance principles. Key responsibilities include designing and building multi-tenant back-end services on Azure, implementing tenant isolation, rate limits, and API versioning.
Additionally, the candidate will integrate Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports. They will also connect datasets, prompts/outputs, and lineage to Microsoft Purview; build audit/reporting workflows (AI Foundry → Purview).
Azure Policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments will be enforced by the successful candidate. They will collaborate with Product and Compliance on governance features (access reviews, approvals, audit exports).
Required Skills- 5+ years building cloud services (preferably Azure) with multi-tenant architectures.
- Hands-on 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.
- Microsoft Purview (catalog, lineage, access policies) and Azure AI Foundry experience.
- Content moderation integrations (Azure AI Content Safety).
- Experience in regulated environments (health/finance), data residency/sovereignty.
- 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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