Solution Engineer Cloud & AI Software at Microsoft
, , United States -
Full Time


Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Technical Sales, Demos, PoCs, Solution Design, Production Deployments, Cloud-Native Development, GitHub, Visual Studio, AI-Assisted Dev Tools, Foundry SDK, CI/CD, DevOps, APIs, Containers, Microservices

Industry

Software Development

Description
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Build trusted relationships with developers and platform leads as well as AI decision makers to co-designing secure, scalable architectures and solutions Resolve technical blockers and objections, collaborating with engineering to share insights and improve products. Maintain deep expertise in GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices). Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience. This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience. 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
Responsibilities
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments. Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions.
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