AI Platform Operations Engineer

**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 **AI guardrails, content filtering, and Responsible AI controls**. * Familiarity with **AI observability, monitoring, logging, and performance tracking**. * Experience with **Azure Monitor, Application Insights, Log Analytics, and Azure Cost Management**. * Understanding of **Azure security, RBAC, Managed Identities, Key Vault, and networking concepts**. * Strong troubleshooting, operational support, and stakeholder management skills. **Good\-to\-Have Skills*** Experience with **AI Gateway solutions** (Azure APIM AI Gateway or similar). * Knowledge of **Prompt Flow, AI evaluations, and model benchmarking frameworks**. * Experience with **LangChain, LangGraph, Semantic Kernel, or AutoGen**. * Exposure to **MLOps, CI/CD pipelines, GitHub Actions, and Azure DevOps**. * Knowledge of **Microsoft Purview, AI governance, and compliance frameworks**. * Experience with **vector databases, Azure AI Search, and RAG architectures**. * Familiarity with **Kubernetes, Container Apps, or Azure OpenAI at enterprise scale**. * Knowledge of quota planning, token consumption analysis, and FinOps practices for AI workloads. **Required Experience \& Skills** * 3\-10 years hands\-on Azure administration/operations experience, including support of production cloud environments. * Operational knowledge of Azure AI Foundry / Azure OpenAI, GenAI workload patterns and agentic application operations. * Understanding of AI gateway/APIM, REST APIs, MCP awareness, guardrails, content safety, prompt/model monitoring and evaluation concepts. * Experience with Azure monitoring/observability services such as Azure Monitor, Log Analytics and Application Insights. * Working knowledge of identity, managed identities, RBAC, secrets management, private connectivity, security controls, quota management and cost attribution. * Operational familiarity with APIM, Azure Event Hubs, Application Insights, Cosmos DB and ADLS Gen2\. * Strong incident/problem management, stakeholder coordination, runbook preparation and knowledge\-transfer skills. **Preferred Certifications** Strongly preferred: Microsoft Azure Administrator Associate (AZ\-104\). Additional preferred certifications: Azure AI Engineer Associate (AI\-102\) and Azure Solutions Architect Expert (AZ\-305\). Google Cloud Associate Cloud Engineer is an advantage due to cross\-cloud dependencies. **Key Deliverables** AI/use\-case onboarding checklist; platform monitoring and incident register; security/governance evidence inputs; AI operational runbooks and troubleshooting guides; operational dependency records; knowledge\-transfer and handover pack. 0ZXEFm5vmM