Principal Cloud Solution Architect, AI Data, Partner Solutions

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

Principal Cloud Solutions Architect focused on enabling partners to build and scale AI-powered solutions on Microsoft Cloud, Azure ML, and AI platforms. The role involves guiding partners on architecture, governance, and readiness for agentic solutions, copilots, and AI applications, with a focus on measurable business impact and cost optimization.

What you'd actually do

  1. Enable partners to design and build Machine Learning, AI, agentic, and Copilot‑based solutions using Microsoft Azure AI and ML platforms
  2. Provide architecture guidance, best practices, and hands‑on technical enablement across Azure ML and AI workloads
  3. Help partners address gaps in solution design, readiness, governance, observability, guardrails, security, and Responsible AI
  4. Support the evolution from traditional applications to AI‑ and ML-driven, agent‑based, and conversational experiences
  5. Build working prototypes and reference implementations to accelerate partner solution development

Skills

Required

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 7+ 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.

Nice to have

  • Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  • 6+ years experience working in a customer-facing role (e.g., internal and/or external).
  • 6+ years experience leading technical projects.
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
  • 6+ years of experience presenting AI strategy and architecture to CxO-level stakeholders.
  • 6+ years of Experience building AI consumption and cost governance architectures, including token economics, and capacity planning for LLM workloads.
  • 6+ years Experience designing and building mission-critical AI applications on Azure.
  • Deep expertise in agentic AI architectures, including MCP, A2A protocols, Microsoft Foundry, Microsoft Agent Framework, and Copilot Studio.
  • Background in building custom Machine Learning and Deep Learning models.
  • Microsoft certifications in Artificial Intelligence are highly valued.

What the JD emphasized

  • partner-led AI adoption
  • agentic solutions
  • AI-powered applications
  • AI and ML platforms
  • agentic AI architectures
  • custom Machine Learning and Deep Learning models
  • AI consumption and cost governance architectures

Other signals

  • enabling partners to design, build, and scale responsible AI-powered solutions
  • translate AI capabilities into secure, scalable, and outcome-based offerings
  • agentic solutions, copilots, and AI-powered applications
  • accelerate AI transformation for our customers and the world
  • partner-led AI scale strategy
  • move from experimentation to production