Senior Cloud Architect

1 week ago

Mumbai, Maharashtra, India beBeeGovernance Full time ₹ 25,00,000 - ₹ 35,00,000
Job Description

We're building a multi-tenant AI-governance platform on Microsoft Azure.

You'll design and implement secure, scalable services; integrate Azure ML Responsible AI tooling and Microsoft Purview; and enforce policy guardrails with Azure Policy.

Key Responsibilities
  1. Design and build multi-tenant back-end services on Azure (App Service/AKS/Functions) behind Azure API Management. Implement tenant isolation, rate limits, and API versioning.
  2. Integrate Azure ML (model registry/endpoints) and Responsible AI Dashboard/Toolbox to generate fairness, error, and explainability reports.
  3. Implement Azure AI Content Safety checks in the prompt/response path.
  4. Connect datasets, prompts/outputs, and lineage to Microsoft Purview; build audit/reporting workflows (AI Foundry → Purview).
  5. Enforce Azure Policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments.
  6. Build observability (App Insights/Log Analytics), SLOs, alerting, and secure secret management (Key Vault).
Requirements
  • 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.
Nice-to-Have Skills
  • 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.
Success Metrics
  • 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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