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Senior Azure AI Infrastructure Architect

ACENET CONSULTING PRIVATE LIMITED
10 - 20 Years
Multiple Locations

Posted on: 17/03/2026

Job Description

Key Responsibilities :

- Design and maintain enterprise-grade Azure AI resources.

- Architect infrastructure for Azure OpenAI, Azure Machine Learning, Azure AI Services, GPU-based compute environments, and AKS for AI workloads.

- Define subscription strategy, resource group structure, tagging standards, and naming conventions aligned with CoE governance.

- Design secure networking architectures including VNET segmentation, Private Endpoints, Firewall, and NSGs.

- Continuously monitor and improve security posture using Microsoft Defender for Cloud and related tools.

- Implement least-privilege RBAC models and ensure secure identity integration.

- Enforce governance controls using Azure Policy and Management Groups.

- Review AI solution architectures and participate in architecture review boards.

- Monitor and optimize AI workload costs using Azure Cost Management and FinOps practices.

- Implement Infrastructure as Code using Terraform (preferred), Bicep, or ARM templates.

- Support CI/CD pipelines and controlled change and release management processes.

- Develop operational runbooks and ensure smooth transition of AI services to operations teams.

- Act as the primary AI infrastructure advisor within the Cloud CoE and guide stakeholders on best practices.


Role Requirements and Qualification :


- 10+ years in IT infrastructure/cloud architecture.

- 5+ years of hands-on Azure architecture experience.

- Experience operating within a centralized Cloud CoE model.

- Deep hands-on expertise in Microsoft Azure and Azure AI services.

- Strong experience designing AI landing zones and enterprise cloud architectures.

- Advanced knowledge of Azure networking (VNETs, Private Link, Hybrid connectivity).

- Strong expertise in Azure RBAC, Entra ID, Managed Identities, Azure Policy, and Key Vault.

- Experience with Microsoft Defender for Cloud and enterprise security monitoring.

- Hands-on experience with Infrastructure as Code and CI/CD pipelines.

- Strong FinOps mindset and experience managing Azure cost optimization.


Preferred Certifications :


- Microsoft Certified : Azure Solutions Architect Expert

- Microsoft Certified : Azure Security Engineer Associate

- Microsoft Certified : Azure AI Engineer Associate

- Microsoft Certified : Azure Administrator Associate


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