Microsoft Technical Architect

Genzeon; Hyderabad; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Genzeon is seeking a senior Solutions/Cloud Architect to lead architecture across Azure AI workloads and Well-Architected pillars. You will own WAR engagements, build evidence, and drive remediation ahead of audits.

You will design Microsoft-based AI co-solutions, align with Microsoft AI priorities, and mentor engineers. Strong leadership, writing, and executive communication are essential for success in this hands-on role.

Qualifications

• 12–16 years in IT, with production Azure workloads focus on AI/ML solutions.
• Expert, hands-on knowledge of the Azure Well-Architected Framework and proven experience running Well-Architected Reviews.
• 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, ZeroTrust 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.

Responsibilities

• Provide architectural leadership across the five WAF pillars for Microsoft Specializations.
• Lead the Azure Well-Architected Review (WAR) using the Microsoft CoreWAR tool and export 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.
• 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 / AI Foundry, Azure Machine Learning, agentic and RAG-based solutions).
• Engage with Microsoft partner, co-sell, and specialization teams to align Genzeon's roadmap with Microsoft's AI priorities.
• Lead Genzeon through future Microsoft Specialization and designation audits, building reusable evidence frameworks.
• Embed ResponsibleAI and healthcare compliance (HIPAA/PHI, BAA, data residency) into solution designs by default.
• Mentor and upskill architects and engineers on WAF and Azure AI; act as trusted technical advisor to sales and delivery on Azure AI opportunities.
• Lead Genzeon's through future Microsoft Specialization and designation audits.

Skills

Azure architecture

AI/ML solutions

Well-Architected Framework

Technical writing

Executive communication

Mentoring

Solution design

IaC (Bicep/Terraform)

Tools

Bicep/Terraform

Job description

• Providearchitectural leadership across all five WAF pillars — Reliability,Security, Cost Optimization, Operational Excellence, PerformanceEfficiency — for Microsoft Specializations.
  
• Leadthe Azure Well-Architected Review (WAR) using the Microsoft CoreWAR tool and export required pillar evidence across engagements.
  
• Buildthe control-by-control evidence index and lead the audit-day "talkingtrack"; support the mock audit and drive remediation ahead of thefinal audit.
  

Microsoft AI practice & co-solutions

• Ownand grow Genzeon's Microsoft AI architecture practice, definingreference architectures, patterns, and standards for AI workloads onAzure.
  
• Designand develop Microsoft-based AI co-solutions (Azure OpenAI, Azure AIServices / Foundry, Azure Machine Learning, agentic and RAG-basedsolutions), including productized/repeatable offerings suitable forco-sell and Microsoft marketplace.
  
• Engagewith Microsoft partner, co-sell, and specialization teams to alignGenzeon's roadmap with Microsoft's AI priorities and unlock partnershipbenefits.
  
• LeadGenzeon through future Microsoft Specialization and designation audits,building reusable evidence frameworks and reducing preparation effort overtime.
  
• Embed ResponsibleAI and healthcare compliance (HIPAA/PHI, BAA, data residency) intosolution designs by default.
  
• Mentorand upskill architects and engineers on WAF and Azure AI, raising theorganization's overall capability.
  
• Act asa trusted technical advisor to sales and delivery on Azure AIopportunities, effort estimation, and solution feasibility.
  

Requirements

Required skills and experience

• 12–16years 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 provenexperience running Well-Architected Reviews. (This role remainshands-on — depth in design and documentation is as important asleadership.)
  
• Deepexpertise 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).
  
• Demonstrateddesign experience across all five WAF pillars in production (HA/DR, ZeroTrust security, cost governance, CI/CD & observability,autoscale/caching/performance).
  
• Experience defining reference architectures and building repeatable/productizedsolutions, ideally in a partner or co-sell context.
  
• Strongtechnical writing and executive communication skills; able to present toauditors, customers, and Microsoft partner teams.
  
• Provenability to lead and mentor technical teams.
  

Highly desirable

• Priorexperience preparing for or passing Microsoft Solutions PartnerSpecialization audits (AI Apps, Analytics, or similar), ideally withISSI, and familiarity with Microsoft Partner Center specialization/ACRrequirements.
  
• Experiencewith the Microsoft co-sell / marketplace motion and partner GTM.
  
• Relevantcertifications: Azure Solutions Architect Expert (AZ-305) and AzureAI Engineer (AI-102); plus any of AZ-104, AZ-400, or DP-100.
  
• Experiencein regulated / healthcare environments (HIPAA, PHI, Responsible AIgovernance).