Microsoft
Senior Cloud Solution Architect - Cloud & AI Infrastructure, Azure Government Cloud
$106K–$223K
United States · On-site · Senior · Full-time · Posted Oct 15, 2026
- Experience
- 4+ years in listed technical areas; equivalent experience accepted. Preferred: 2+ years with Azure Government or related workloads; 4+ years in a customer-facing role.
- Education
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent experience.
- Visa sponsorship
- U.S. citizenship is required and will be verified via a valid passport.
About the job
Designs and implements secure Azure Government and hybrid cloud foundations, leads regulated-environment migrations and customer engagements, and enables approved AI workloads while validating government-cloud availability and authorization.
What you'll do
- Design and implement Azure Government landing zones and hybrid infrastructure, including identity, networking, security, automation, monitoring, and recovery.
- Lead customer engagements from discovery through migration, implementation, operational handover, and resolution of delivery risks.
- Support compliance and authorization processes and establish secure foundations for approved AI workloads.
What they ask for
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field, or equivalent experience.
- 4+ years of experience in one or more listed areas, including modernization, security, resiliency, IT consulting/support, systems administration, network operations, architecture, or consulting.
- U.S. citizenship, verified via a valid passport.
Nice to have
- 2+ years designing, implementing, or operating Azure Government or related workloads.
- Azure architecture, administration, networking, or security certification.
Pay
USD $106,400 - $203,600 per year (base salary); USD $137,600 - $222,600 per year (base salary)
Tools
Azure Government, Azure Policy, Microsoft Defender for Cloud, Microsoft Entra ID, Azure OpenAI, Kubernetes, Cloud Adoption Framework (CAF), Well-Architected Framework (WAF)
AI focus
Enable secure, sovereign deployment patterns and data controls for approved AI workloads; validate Azure Government service availability and customer authorization, including Azure OpenAI only where approved and available.
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