OverviewJoin Microsoft as a
Sr. Solution Engineer Cloud & AI Software, where you'll help startups, digital natives, and fast-moving customers' developers solve complex challenges and build the next generation of intelligent applications and platforms.
As a Solution Engineer, you'll work directly with technical founders, engineering leaders, and business stakeholders to architect platforms that support AI workloads and business-critical applications at scale. You'll bring deep expertise in migrating and optimizing core workloads-including Kubernetes Services, Windows/Linux, API Management on Azure, with particular attention to the elasticity, cost efficiency, and time-to-market demands that define Digital Native and ISV businesses.
Beyond migration, you'll lead customers through modernization using the 6R framework, containerization best practices, and Azure-native services like AKS and Arc, while exploring how AI and intelligent agents can accelerate legacy transformation and product development. You'll apply networking expertise to design hybrid and cloud-native solutions-virtual networks, VPNs, and secure routing architectures-that meet performance, multi-tenancy, and compliance needs. You'll complement this with trusted partner solutions available on Azure to ensure a secure, optimized, and scalable experience.
You'll have the opportunity to grow your technical expertise through Microsoft's learning resources, including support for industry-recognized certifications across Azure infrastructure, security, and AI.
Responsibilities- Drive technical sales through demos, proofs of concept, and architecture accelerators to influence solution design and enable production deployments. Help customers validate technical assumptions by writing working code and prototyping MVPs.
- Lead architecture sessions and technical workshops with technical decision makers and founders to accelerate Azure adoption.
- Build trusted relationships with platform and engineering leads to co-design secure, scalable, multi-tenant solutions.
- Resolve technical blockers by collaborating with engineering and channeling customer insights back into the product.
- Maintain deep, current expertise in AI-assisted dev tools, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices), cloud migration, resiliency, security, and compliance.
- Represent Microsoft in customer forums and technical communities through thought leadership.
- Embody our culture and values.
Other:
- Embody our culture and values
QualificationsRequired/minimum qualifications- Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR 5+ years technical pre-sales or technical consulting experience OR equivalent experience.
Other Requirements: - 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.
Additional or preferred qualifications- 5+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience.
- 3+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).
- Proven experience in cloud infrastructure. Understanding Cloud Services such as Azure, Amazon Web Services or Google Cloud services, including security, compliance, and hybrid cloud scenarios.
- Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions.
- Enterprise-Grade Architecture: Ability to create and explain 3-tier, system context, and system interaction diagrams, with proven experience building AI-focused solutions on the cloud (Azure, AWS, GCP) from MVP to production.
Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
