Microsoft
Solution Engineer - AI Business Process
$86K–$223K
United States · On-site · Full-time · Posted Sep 19, 2026
- Experience
- At least 1 year with a relevant master’s degree, 2 years with a relevant bachelor’s degree, or 3 years of technical pre-sales or consulting experience; equivalent experience accepted. Preferred: 6+ years in relevant fields or equivalent; 4+ years with cloud/hybrid or on-premises infrastructure experience.
- Education
- Master’s or bachelor’s degree in Computer Science, Information Technology, or a related field; equivalent experience is also accepted.
- Visa sponsorship
- Microsoft is unable to sponsor a work visa for this role.
About the job
Drives technical sales and helps enterprise customers design and deploy AI-enabled business process solutions using Microsoft platforms.
What you'll do
- Deliver demos and proofs of concept to influence solution design and enable production deployments.
- Lead customer hackathons and architecture workshops; co-design secure, scalable solutions with platform leads.
- Resolve technical blockers with engineering and build expertise in AI business processes.
What they ask for
- Master’s degree in Computer Science, Information Technology, or related field and 1+ year of technical pre-sales or consulting experience; or bachelor’s degree in those fields and 2+ years’ experience; or 3+ years’ experience; or equivalent experience.
Nice to have
- 6+ years in technical pre-sales, technical consulting, technology delivery, or related experience, or equivalent experience.
- Cloud/hybrid or on-premises infrastructure experience; relevant technology certifications; or knowledge of commercial cloud offerings.
Pay
USD $86,100 - $169,800 per year (base salary); USD $113,300 - $187,400 per year (base salary); USD $106,400 - $203,600 per year (base salary); USD $137,600 - $222,600 per year (base salary)
Tools
Dynamics 365, Power Platform, Microsoft’s cloud platform, Office 365, Power BI, Azure
AI focus
Helps enterprise AI developers use Microsoft’s AI-powered stack through solution design, proofs of concept, workshops, and production deployment.
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