Senior Cloud Architectural Engineer

1 week ago

Shimoga, Karnataka, India beBeeEngineering Full time ₹ 20,00,000 - ₹ 25,00,000

Cloud Architectural Engineer - AI Governance Platform

We're looking for a highly skilled Cloud Architectural Engineer to lead the design and implementation of our multi-tenant AI-governance platform on Microsoft Azure. This is an exciting opportunity to join a cutting-edge project that requires expertise in secure, scalable services; integration with Azure ML Responsible AI tooling and Microsoft Purview; and enforcement of policy guardrails with Azure Policy.

Key Responsibilities:

  • Design and build multi-tenant back-end services on Azure (App Service/AKS/Functions) behind Azure API Management, implementing 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 on governance features (access reviews, approvals, audit exports).

Required Skills:

  • 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.

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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