• Architect the AI Landing Zone, including Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services. • Ensure the platform is secure, compliant, and designed to scale across academic, administrative, research, and healthcare environments. • Define and enforce governance, identity/SSO integration, and infrastructure requirements. • Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements. • Design integration patterns with core client systems (SIS, LMS, SSO, APIs, data sources). • Collaborate with the Data/Technology Lead to define secure data pipelines, connectors, and access patterns. • Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case. • Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes. • Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.