Senior Azure AI Infrastructure Architect

Experience: 10 to 15 years

Location: Abu Dhabi

Job code: 101444

Posted on: Mar 05, 2026

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.

Job Summary

We are seeking a Senior Azure AI Infrastructure Architect to lead the design, governance, security, and operationalization of AI infrastructure on Microsoft Azure. Operating within a centralized Cloud Center of Excellence (CoE), this role will act as the enterprise platform authority for Azure AI services. The architect will partner closely with application teams, data scientists, security, networking, and operations teams to provision, secure, optimize, and transition AI solutions into production at scale.

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.
  
  

• 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.
  
  

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Security Engineer Associate
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Administrator Associate
  
  

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.