Cloud & AI Platform - AI Infrastructure Cloud Solution Architect

Microsoft Microsoft · Big Tech · Toronto, ON +1 · Cloud Solution Architecture

This role focuses on designing, implementing, and scaling AI-ready Azure infrastructure platforms for enterprise clients. The Cloud Solution Architect will ensure secure, resilient, and cost-governed foundations for AI workloads, including GPU platforms, networking, storage, and security. The role involves leading technical engagements, removing blockers, and industrializing repeatable patterns to support production-grade AI solutions and accelerate Microsoft Cloud consumption.

What you'd actually do

  1. Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer—sharing insights and removing blockers through collaboration with Microsoft engineering teams.
  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. Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
  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

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  • 4+ years experience working in a customer-facing role (e.g., internal and/or external).
  • 4+ years experience working on technical projects.
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).

Nice to have

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

What the JD emphasized

  • AI-ready Azure infrastructure platforms
  • AI workloads at scale
  • production-grade AI solutions
  • production-scale AI use cases
  • AI Infrastructure

Other signals

  • design, land, and scale AI-ready Azure infrastructure platforms
  • enable AI workloads at scale
  • accelerate Microsoft Cloud consumption
  • industrialize repeatable infrastructure patterns
  • support production-grade AI solutions
  • deploy secure, compliant, production-ready AI platforms