Microsoft Technical Architect

Job Description Microsoft Specialization Provide architectural leadership across all five WAF pillars Reliability, Security, Cost Optimization, Operational Excellence, Performance Efficiency for Microsoft Specializations. Lead the Azure Well-Architected Review (WAR) using the Microsoft Core WAR tool and export required pillar evidence across engagements. Build the control-by-control evidence index and lead the audit-day talking track; support the mock audit and drive remediation ahead of the final audit. Microsoft AI practice & co-solutions Own and grow Genzeon's Microsoft AI architecture practice, defining reference architectures, patterns, and standards for AI workloads on Azure. Design and develop Microsoft-based AI co-solutions (Azure OpenAI, Azure AI Services / Foundry, Azure Machine Learning, agentic and RAG-based solutions), including productized/repeatable offerings suitable for co-sell and Microsoft marketplace. Engage with Microsoft partner, co-sell, and specialization teams to align Genzeon's roadmap with Microsoft's AI priorities and unlock partnership benefits. Lead Genzeon through future Microsoft Specialization and designation audits, building reusable evidence frameworks and reducing preparation effort over time. Embed Responsible AI and healthcare compliance (HIPAA/PHI, BAA, data residency) into solution designs by default. Mentor and upskill architects and engineers on WAF and Azure AI, raising the organization's overall capability. Act as a trusted technical advisor to sales and delivery on Azure AI opportunities, effort estimation, and solution feasibility. Requirements Required skills and experience 1216 years in IT, including substantial recent experience as a Solutions / Cloud Architect on production Azure workloads, with a clear focus on AI/ML solutions. Expert, hands-on knowledge of the Azure Well-Architected Framework and proven experience running Well-Architected Reviews. (This role remains hands-on depth in design and documentation is as important as leadership.) Deep expertise across the Azure AI stack: Azure OpenAI, Azure AI Services / AI Foundry, Azure Machine Learning, plus App Service, Azure databases, Key Vault, Microsoft Entra ID, Azure Monitor / Application Insights, and IaC (Bicep / Terraform). Demonstrated design experience across all five WAF pillars in production (HA/DR, Zero Trust security, cost governance, CI/CD & observability, autoscale/caching/performance). Experience defining reference architectures and building repeatable/productized solutions, ideally in a partner or co-sell context. Strong technical writing and executive communication skills; able to present to auditors, customers, and Microsoft partner teams. Proven ability to lead and mentor technical teams. Benefits Highly desirable Prior experience preparing for or passing Microsoft Solutions Partner Specialization audits (AI Apps, Analytics, or similar), ideally with ISSI, and familiarity with Microsoft Partner Center specialization/ACR requirements. Experience with the Microsoft co-sell / marketplace motion and partner GTM. Relevant certifications: Azure Solutions Architect Expert (AZ-305) and Azure AI Engineer (AI-102); plus any of AZ-104, AZ-400, or DP-100. Experience in regulated / healthcare environments (HIPAA, PHI, Responsible AI governance). .