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Senior Full-Stack/Platform Engineer — Azure AI Governance SaaS

5 years

0 Lacs

new delhi delhi india

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

stack azure ai governance saas design ml tooling service api management versioning model dashboard reports content checks connect audit reporting networking encryption diagnostics analytics compliance vault python sql github security rest finance data onboarding flow

Work Mode

On-site

Job Type

Full Time

Job Description

About the role


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.


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 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.

Nice to have

  • 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 in 90 days

  • 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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