Cloud Solution Architect - Cloud & AI Infrastructure

Microsoft Microsoft · Big Tech · United States · Cloud Solution Architecture

This role focuses on helping customers migrate, modernize, and secure their infrastructure and applications on Microsoft Azure, with a specific emphasis on enabling scalable, production-ready AI solutions. The Cloud Solution Architect will design and implement solutions, resolve blockers, and accelerate Azure adoption, ensuring customer environments are optimized for AI use cases. The role involves working with various Azure services and frameworks like CAF and WAF, and driving migration and modernization initiatives for AI workloads.

What you'd actually do

  1. Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
  2. Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF.
  3. Partner with technical and sales teams to identify opportunities and develop tailored solutions to drive expansion and business value realization.
  4. Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, SAP, and AI workloads.
  5. Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases.

Skills

Required

  • cloud/infrastructure technologies
  • information technology (IT) consulting/support
  • systems administration
  • network operations
  • software development/support
  • technology solutions
  • practice development
  • architecture
  • consulting

Nice to have

  • Azure SQL
  • PostgreSQL
  • AKS
  • App Service
  • AVS
  • SAP (Native + RISE)
  • Windows
  • Linux
  • Defender for Cloud

What the JD emphasized

  • AI transformation journey
  • AI workloads
  • production-scale AI use cases