AI Foundation Architecture

Key Benefits:

• Establish enterprise-ready Azure Landing Zones designed specifically for AI workloads
• Implement secure, compliant infrastructure aligned to Microsoft Cloud Adoption Framework
• Enable rapid, consistent deployment of AI solutions with standardized patterns
• Accelerate time-to-production with pre-configured environments for Agentic AI and AI applications
• Ensure governance, cost management, and security controls from day one

Agenda

1. Generative AI Building Blocks Workshop (Duration: 1.5 hours)

• Overview of Azure AI services and agentic AI capabilities
• Understanding Azure OpenAI, Azure AI Studio, Foundry Control plane and Model Catalog
• Identifying required building blocks for your AI use cases
• Security and compliance considerations for building agentic AI applications

2. Introduction to Landing Zone Architecture (Duration: 2 hours)

• Azure Landing Zone fundamentals and Cloud Adoption Framework
• AI-specific landing zone design patterns and requirements aligning with Azure well-architected framework
• Network topology, identity, governance, and security architecture
• Resource organization, naming conventions, and subscription design

3. Generative AI Landing Zone Architecture Implementation (Duration: 1-2 weeks)

• Deploy foundational Azure infrastructure for agentic AI workloads
• Configure Azure OpenAI Service with private endpoints and network isolation
• Implement Azure AI Studio and Prompt Flow environments
• Set up vector databases, storage, and data integration services
• Configure monitoring, logging, and cost management

4. Apps & Infrastructure Landing Zone Architecture Implementation (Duration: 1-2 weeks)

• Deploy application hosting environments (Azure App Service, AKS, or Azure Functions)
• Configure CI/CD pipelines for AI application deployment
• Implement API Management for AI service orchestration
• Set up development, staging, and production environments
• Enable DevOps practices and MLOps foundations

Deliverables

• AI Foundation Architecture Blueprint
• Deployed Azure AI Landing Zone
• Governance, security, and network configurations
• Reusable infrastructure and reference templates
• Readiness assessment for GenAI Factory
• Documentation and operational handover

Prerequisites

To conduct this program, we will need:

• Access to Microsoft Azure resources
• Access to cloud, security, and AI stakeholders
• Azure-based AI use cases

Target Audience

• Cloud Architects and Infrastructure Engineers
• IT Operations and Platform Teams
• Security and Compliance Officers
• AI/ML Platform Engineers
• DevOps and MLOps Teams

Why MAQ Software

• Deep expertise in Azure AI, GenAIOps, and enterprise‑scale delivery
• Proven experience operationalizing agentic AI beyond pilots
• Security‑first, governance‑driven implementation approach
• Strong alignment with Microsoft AI Factory and platform architectures
• End‑to‑end enablement from assessment to production scale

Begin your AI Foundation Architecture & Landing Zones engagement today. Contact us at customersuccess@maqsoftware.com