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.
Collaborate closely with the Functional Consultant and project manager for technical sequencing and risk mitigation.

Expertise in cloud/enterprise architecture, preferably across Azure AI services.
Strong understanding of identity, security, compliance frameworks, and data governance.
Experience designing scalable AI or cloud platforms and integrating enterprise systems.
Ability to evaluate technical feasibility, optimize performance, and implement MLOps/CI-CD.
Strong communication skills for translating complex technical concepts to non-technical stakeholders.
Good to have skills: AI Application Solution Design (Strong), Metasonic, Microsoft Azure Artificial Intelligence and Machine Learning (Expert), Microsoft Fabric (Expert).

Associate Distinguished Engineer – Enterprise Architect, Azure AI

Key skills