Cloud Architect

4 days ago

Dindigul, Tamil Nadu, India beBeeEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
AI Governance Platform Engineer

About the role

We are 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.

Responsibilities:

  • 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.
  • Integrate Azure ML (model registry/endpoints) and responsible AI dashboard/toolbox to generate fairness, error, and explainability reports.
  • Implement Azure AI content safety checks in the prompt/response path.
  • Connect datasets, prompts/outputs, and lineage to Microsoft Purview; build audit/reporting workflows (AI Foundry – Purview).
  • Enforce Azure policy baselines (networking, encryption, diagnostics), IAC for repeatable deployments.
  • Build observability (App Insights/Log Analytics), SLOs, alerting, and secure secret management (Key Vault).
  • Collaborate with product and compliance teams on governance features (access reviews, approvals, audit exports).

Required skills and qualifications:

  • 5+ years of experience 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.

Benefits and opportunities:

  • Opportunity to work on a cutting-edge AI governance platform.
  • Collaborative and dynamic team environment.
  • Professional growth and development opportunities.

Success criteria:

  • 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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