Lead end-to-end architecture and delivery of production ML and generative AI platforms on Azure and Microsoft Fabric. Define MLOps, CI/CD, governance, observability, retrieval/LLM patterns, security, cost controls, and operational handoff. Work with data scientists and engineers to translate requirements, defend tradeoffs, and ensure systems run unattended in production.

Lead design and implementation of Identity and M&A migration projects (Active Directory, Entra, M365, tenant-to-tenant, cross-forest, third-party systems). Act as technical escalation point, deliver billable engagements, mentor team members, drive standards adoption, automation, and AI-enabled efficiencies, and collaborate with PMO for project delivery.

Lead end-to-end Azure infrastructure engagements: design, implement, validate, document, and transition environments to managed services. Use Cloud Adoption Framework and Well-Architected principles, perform migrations with Azure Migrate, ensure security, resiliency, operational readiness, automate via IaC, troubleshoot complex issues, and enable knowledge transfer for managed services.