Microsoft Technical Architect

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

• 12–16
  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).