Microsoft
Data & AI Cloud Solution Architect - CTJ - Top Secret
$86K–$187K
Washington, DC +1 · On-site · Full-time · Posted Oct 26, 2026
- Location
- Washington, DC
Reston, VA - Experience
- 2+ years required in listed technical areas or equivalent experience. Preferred: bachelor's degree plus 5+ years, master's degree plus 3+ years, or equivalent experience; also 2+ years customer-facing and 2+ years on technical projects.
- Education
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field OR equivalent experience
About the job
Leads customer engagements to design and deliver secure, governed Azure data platforms and production-scale AI solutions, from architecture and proofs of concept through deployment and workload optimization.
What you'll do
- Design data and AI architectures and roadmaps, and lead proofs of concept, pilots, and production deployments.
- Oversee technical delivery, customer success alignment, and workload health, security, resiliency, capacity, and optimization.
- Resolve adoption blockers and contribute reusable frameworks and customer feedback to improve platform outcomes.
What they ask for
- Bachelor's degree in a stated relevant field or equivalent experience.
- 2+ years of experience in one or more listed cloud, IT, consulting, operations, development, architecture, or technology solution areas, or equivalent experience.
- Active U.S. Government Top Secret Security Clearance.
- Must meet required security screening, pass the Microsoft Cloud background check, and verify U.S. citizenship.
Nice to have
- 2+ years of customer-facing experience and 2+ years working on technical projects.
- Relevant technical certification in cloud, data, analytics, database, AI, or security technologies.
Pay
USD $86,100 - $169,800 per year (base salary); USD $113,300 - $187,400 per year (base salary)
Tools
Microsoft Azure, Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, Cosmos DB
AI focus
Enables production-scale AI and agent scenarios through AI-ready data estates, platform architecture, deployments, and workload optimization.
Model-written summary · the original posting is authoritative