Architecting an Azure AI Hub-and-Spoke Landing Zone for Multi-Tenant Enterprises

A large enterprise needs secure, isolated, and cost-efficient AI infrastructure. This design uses a Hub-and-Spoke model based on Azure Landing Zone principles. The AI Hub centralizes shared services like security and API management. AI Spokes host tenant-specific resources, running AI agents on Azure Kubernetes Service (AKS). This architecture ensures strong tenant isolation across network, identity, compute, and data. Onboarding of new tenants is automated for consistent deployment and cost attribution. Security is enhanced through private endpoints, firewalls, and Web Application Firewall. Identity and access management utilizes Microsoft Entra ID with conditional access. Secure traffic flow is guaranteed by routing traffic through governed paths. AKS multitenancy options provide flexibility based on isolation needs. Comprehensive tagging and usage telemetry enables effective cost management and showback. Automated deployments, leveraging Azure Landing Zone accelerators, ensure scalability and maintainability. This framework allows organizations to confidently scale AI workloads in a secure, governed, and cost-aware manner.