Microsoft
Digital Cloud Solution Architect
United States · On-site · Full-time · Posted Oct 16, 2026
- Experience
- 4+ years with a relevant bachelor's degree; alternatively 3+ years with relevant certifications, or 5+ years; equivalent experience is also accepted. Preferred: 8+ years with a relevant bachelor's degree or equivalent experience; 4+ years in cloud-based solution design, migrations, and technology management.
- Education
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field; relevant certifications may substitute under the stated experience alternative. Equivalent experience is accepted.
About the job
Leads customer AI and cloud transformation by designing secure solutions, guiding technical engagements, and accelerating adoption, consumption, and business outcomes.
What you'll do
- Identify and advance customer AI and agentic use cases, translating priorities into technical solutions.
- Design, validate, and implement secure, scalable cloud solutions; guide architecture discussions and deployment.
- Coordinate customer, Microsoft, and partner teams while tracking usage, opportunities, forecasts, and customer outcomes.
What they ask for
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field and 4+ years of relevant experience; OR relevant Microsoft or competitive platform certifications and 3+ years; OR 5+ years of relevant experience; OR equivalent experience.
- Experience in technical architecture, technical consulting, design and implementation, and/or technical sales.
Nice to have
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field and 8+ years of relevant experience, or equivalent experience.
- 4+ years experience with cloud-based solution designs, migrations and management of technology.
Pay
USD $51.15 - $97.88 per hour (base salary); USD $66.15 - $107.02 per hour (base salary)
Tools
Microsoft Cloud, CRM
AI focus
Leads customer AI transformation, including identifying and prioritizing AI and agentic use cases and delivering AI outcomes.
Model-written summary · the original posting is authoritative