Infrastructure Architect - Azure Cloud & AI Platforms

Associate Principal - Architecture Job Description Infrastructure Architect Azure Cloud AI Infrastructure Role Infrastructure Architect Azure Cloud AI Platforms Experience 15 Years Location India Flexible Employment Type FullTime Role Overview We are seeking a highly experienced Infrastructure Architect with deep expertise in Microsoft Azure Cloud and a proven track record of designing implementing and managing largescale cloud and AI infrastructures The ideal candidate will have 18 years of overall IT experience including 5 years leading AI infrastructure programs enabling enterprise AIML Generative AI and Agentic AI solutions at scale This role will be responsible for defining cloud and AI platform strategies establishing secure and scalable AI landing zones driving infrastructure modernization and ensuring operational excellence across enterprise environments Key Responsibilities Azure Cloud Architecture Design and govern enterprisescale Azure cloud architectures aligned with business security compliance and operational requirements Lead cloud transformation initiatives including migration from onpremises and multicloud environments to Azure Define and implement landing zones networking identity governance security resilience and disaster recovery strategies Architect scalable IaaS PaaS container and serverless solutions leveraging Azure native services Drive InfrastructureasCode IaC adoption using Terraform Bicep ARM Templates and CICD automation AI Infrastructure Leadership Design deploy and manage enterprise AI infrastructure supporting Generative AI Machine Learning and Agentic AI workloads Build AIready cloud foundations including AI Landing Zones GPUenabled environments model hosting platforms and vector database ecosystems Architect solutions leveraging Azure AI Foundry Azure OpenAI Azure Machine Learning Azure AI Search Azure Data Services and Azure Kubernetes Service AKS Establish AI operational frameworks covering model deployment observability scalability security governance and compliance Collaborate with Data Science AI Engineering and Application teams to operationalize AI solutions at enterprise scale Governance Security Define cloud governance RBAC identity management security baselines and compliance controls Ensure adherence to Microsoft WellArchitected Framework principles Drive FinOps initiatives for cloud cost optimization and resource utilization Lead enterprise architecture reviews and executivelevel technology discussions Leadership Stakeholder Management Act as the technical authority for Azure Cloud and AI Infrastructure Mentor architects cloud engineers and platform teams Engage with client leadership enterprise architects security teams and business stakeholders Support solutioning proposals estimations and strategic transformation programs Required Skills Azure Cloud Azure Landing Zone Design Azure Networking Hub Spoke Virtual WAN Azure Virtual Machines Azure App Services Azure Kubernetes Service AKS Azure Storage Services Azure SQL Cosmos DB Azure API Management Azure Functions Azure Monitor Log Analytics Azure Security Center Defender for Cloud AI Infrastructure Azure AI Foundry Azure OpenAI Service Azure Machine Learning AI Landing Zone Architecture GPU Infrastructure Planning Model Deployment Serving Platforms MLOps LLMOps AI Governance Responsible AI Vector Databases and AI Search Platforms Enterprise AI Platform Operations DevOps Automation Terraform Bicep ARM Templates Azure DevOps GitHub Actions CICD Pipelines Containerization Docker Kubernetes Administration Preferred Certifications Microsoft Certified Azure Solutions Architect Expert Microsoft Certified Azure Administrator Associate Microsoft Certified Azure AI Engineer Associate Microsoft Certified Azure Security Engineer Associate TOGAF SABSA or equivalent architecture certifications Desired Candidate Profile 15 years of infrastructure and cloud architecture experience Minimum 5 years architecting and managing AIMLGenerative AI infrastructure Strong experience in enterprisescale cloud transformations Expertise in cloud governance security resiliency and cost optimization Excellent stakeholder management and executive communication skills Experience leading globally distributed architecture and engineering teams Nice to Have Multicloud exposure Azure AWSGCP Experience with Agentic AI platforms and AI orchestration frameworks Exposure to enterprise data platforms Fabric Databricks and advanced analytics ecosystems Target Grade P5P6 Architect Principal Architect level