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 workplace 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 AI guardr

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