AI Platform Operations Engineer

Experience Required: Min 3 Years
Full time Job

Role Summary
Responsible for the operational management, governance, and support of enterprise AI platforms, ensuring secure, scalable, and cost-effective onboarding and operation of Generative AI and Agentic AI workloads on Microsoft Azure.

Key Responsibilities
· Operate Azure AI platform services, including Azure AI Foundry / Azure OpenAI and associated platform-level services.
· Support onboarding of Nexus AI, GenAI and agentic workloads using approved landing-zone patterns, platform blueprints, governance gates and release processes.
· Support AI gateway / LLM gateway and APIM exposure, including API connectivity, registration and production-readiness checks.
· Assist use-case teams with environment readiness, identity/access, network/API connectivity, deployment pre-checks and post-deployment verification.
· Ensure AI workloads and agents are onboarded with approved guardrails, content-safety controls, observability, quota controls, cost attribution and use-case governance.




· Support prompt/model monitoring, evaluation awareness and AI observability; help validate dashboards, alerts and operational health indicators.
· Support integrations with MCP/agent interfaces, data products, event streams and operational data stores where applicable.
· Track incidents, onboarding issues, risks and dependencies; coordinate resolution with Microsoft, Client IT, CIS, Architecture, Data & AI and use-case teams.
· Maintain onboarding checklists, AI operational procedures, troubleshooting guides, governance evidence and knowledge-transfer/handover materials.

Must-Have Skills
- Minimum 3+ years of hands-on Microsoft Azure experience.
- Strong experience with Azure AI Foundry, Azure OpenAI, and Azure AI Services.
- Experience with Azure API Management (APIM) and API exposure patterns.
- Knowledge of Generative AI, Large Language Models (LLMs), RAG, and Agentic AI concepts.
- Experience implementing

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