Microsoft Technical Architect

Job Summary

Microsoft Technical Architect - Hyderabad, Telangana, India. Health Care industry. Permanent position.

Responsibilities

• Provide architectural leadership across all five WAF pillars-Reliability, Security, Cost Optimization, Operational Excellence, and 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.

• Own and grow Genzeons 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 organizations overall capability.

• Act as a trusted technical advisor to sales and delivery on Azure AI opportunities, effort estimation, and solution feasibility.

  Requirements

• 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 / 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.

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