Senior Cloud Solution Architect - Cloud & AI - Federal - Ctj - Poly

Microsoft Microsoft · Big Tech · Washington, DC +4 · Cloud Solution Architecture

Senior Cloud Solution Architect for Microsoft Federal, focusing on Azure workloads including AI, data, applications, and infrastructure. This role involves leading strategic technical engagements, acting as a trusted advisor to executives, and driving the adoption of AI solutions at scale within US government agencies. The architect will ensure successful project delivery, shape Cloud and AI strategy, and accelerate Azure consumption.

What you'd actually do

  1. Ensure successful project delivery by providing technical leadership and orchestration across engagements, driving high-quality execution, removing blockers, and ensuring projects are delivered on time and aligned to customer objectives.
  2. Build trusted relationships with IT executives and business leaders to shape their Cloud and AI strategy, acting as a technical advisor and champion for customer success.
  3. Lead and coordinate across Microsoft, partner, and customer technical teams to manage dependencies, technical risks, and delivery milestones across complex engagements.
  4. Lead architectural design sessions and guide the implementation of secure, scalable, and resilient solutions using Microsoft best practices and frameworks such as CAF and WAF.
  5. Drive technical excellence across Azure workloads—including AI, applications, infrastructure, and data—ensuring mission-critical workloads are optimized for performance, security, and production-scale AI readiness.

Skills

Required

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field
  • 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
  • Technical leadership
  • Orchestration across engagements
  • Cloud and AI strategy
  • Architectural design
  • Azure workloads (AI, applications, infrastructure, data)
  • Security clearance requirements

Nice to have

  • Azure AI Foundry
  • GitHub
  • App Services
  • Databricks
  • Fabric
  • CAF and WAF frameworks

What the JD emphasized

  • U.S. Government Top Secret Clearance with access to Sensitive Compartmented Information (SCI) based on a Single Scope Background Investigation (SSBI) with Polygraph
  • active U.S. Government Top Secret Clearance
  • advanced certifications and deep technical expertise across priority workloads such as Azure AI Foundry, GitHub, App Services, Databricks, and Fabric

Other signals

  • customer-facing role
  • technical leadership
  • AI strategy
  • Azure AI Foundry
  • customer success plans
  • accelerate Azure consumption
  • AI at scale