Azure Infrastructure Architect - AI Infrastructure in India, भारत

Azure Infrastructure ArchitectExperience : 10+About the Role :We are looking for an experienced Azure Infrastructure Architect with strong expertise in Microsoft Azure and AI infrastructure to design, deploy, secure, and scale AI workloads using Azure AI https://jobeax.com/link/wqz2UH5CrZbTEwAQ Responsibilities :- Architect and implement AI infrastructure on Azure AI Foundry, covering compute, networking, storage, and security.- Design and implement Azure Landing Zones, VNets, subnets, private endpoints, and network security for AI workloads.- Establish secure identity and access frameworks using Microsoft Entra ID, RBAC, and managed identities.- Set up and manage Azure AI Foundry projects, hubs, model catalogs, and service connections.- Integrate Azure OpenAI, Azure Cognitive Services, and custom AI/ML models with enterprise infrastructure.- Build and manage CI/CD pipelines for AI and model deployments using Azure DevOps and/or GitHub Actions.- Implement MLOps practices for model lifecycle, deployment, monitoring, and version management.- Configure monitoring, logging, and observability using Azure Monitor and Log Analytics.- Ensure AI workloads comply with security, data residency, governance, compliance, and responsible AI requirements.- Collaborate with AI/ML, DevOps, security, and application teams to deliver scalable enterprise AI https://jobeax.com/link/XF1OMzY5gzhpXhBJ Skillset :- 10+ years of overall IT experience- 10+ years of hands-on experience with Microsoft Azure- 5+ years of experience working with Artificial Intelligence (AI) / AI infrastructure- Strong expertise in Azure AI Foundry- Strong knowledge of Azure Architecture and Infrastructure- Experience with Azure Landing Zones, VNets, Private Endpoints, and Networking- Strong understanding of Microsoft Entra ID, RBAC, Managed Identity, and Azure Security- Experience with Azure OpenAI, Cognitive Services, and AI/ML models- Hands-on experience with Azure DevOps and/or GitHub Actions- Knowledge of MLOps and AI/ML model deployment- Experience with Azure Monitor and Log Analytics- Strong understanding of cloud security, governance, compliance, and data residencyGood to Have :- Experience with Terraform / Infrastructure as Code- Knowledge of Docker and Kubernetes / AKS- Experience with Python and AI/ML frameworks- Knowledge of Responsible AI and AI governance- Experience designing enterprise-scale AI platforms on Azure (ref:hirist.tech)