Senior Solution Engineer-Global Black Belt at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Mar, 26

Salary

203600.0

Posted On

21 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, AI Applications, Technical Sales, Solution Design, App Architecture, Microservices, Python, Java, C#, Machine Learning, Technical Consulting, Customer Engagement, Technical Roadblocks, Competitive Strategy, Knowledge Transfer, Thought Leadership

Industry

Software Development

Description

Overview Microsoft’s Commercial Solution Area (CSA) sets the sales strategy, leads technical sales, and operations as a hub for the Commercial Solution Areas and Support Services that power the Microsoft Cloud. As an Azure Global Black Belt (GBB) Cloud & AI Apps Senior Solution Engineer, you are a senior technical leader with deep technical expertise within our enterprise sales organization, working with our most important customers. You will own securing the technical decision to help customers realize the AI and digital transformation through cloud computing. You will proactively identify and remove technical roadblocks to accelerate customer progress and solution adoption. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI Transformation and scaling AI application and agent development through Azure AI Foundry and the full Microsoft Application Platform — including Azure App Services, Containers, Azure Kubernetes Service, Developer Tools, and GitHub, able to identify projects, develop and share repeatable IPs (e.g., reference architectures, solution accelerators) to drive business and technical decisions. You will build and maintain relationships with customers, influence long-term strategic direction and act as a trusted advisor, driving engagement at the CXO level with technology decision makers. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Complex Deals Support: Engage deeply with customers to understand their complex technical needs and challenges and ensure that solutions meet their requirements and accelerate pipeline. Be an expert on Cloud & AI Apps and Agents technologies Expert on full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET) Expert for AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.) Advising C-Suite in Customers: Develop and maintain a robust relationship with technical executives in top customers (e.g., CIO, CISO, CTO, VP Engineering, Head of Development), gaining their mindshare and trust in Azure platform. Remove Customer and Product Technical Roadblocks: Identify and resolve technical roadblocks that may hinder customer progress, enabling the account team to accelerate the pipeline and convert deals. When product-related issues arise, engage engineering through the go to market team to clarify and address them. Continue supporting both the customer and the account team throughout the resolution process. Win Over Competitors & Secure Technical Decisions: Deep technical compete expert on the assigned specialization area against major Public Cloud Hyper Scalers competitors by removing technical roadblocks and leading w/MSFT product differentiators to demonstrate superior technical solutions. Build win back or surround competitive strategies, aligned with the customer's goals and objectives. Embed security by design across identity, data, infra, and app layers, mapping to compliance frameworks. Incubation to Mainstream: Identify tech scenarios and leverage/build packageable solution accelerators, reference architectures, demos, and automation frameworks to bring additional value across customers and regions. Engineering Feedback Loop: Working with Go to market team on outbound motion through product capabilities and creating incubation execution plan and inbound motion through customer feedback on product capabilities to influence engineering product planning, roadmap, and development. Knowledge Transfer to Technical Roles: Work with enablement team as Subject matter expert (SME) and as a scale mechanism to skill local field solution engineers (SE) and SE managers through structured knowledge sharing, including technical briefings and readiness sessions. Thought Leadership: Be a leading expert within your area of specialization not limited to Microsoft products by speaking engagements, publishing blogs, videos, and walkthroughs that showcase innovative customer solutions, technical patterns IP, and best practices that drive scalable adoption. Qualifications Required/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. 5+ years experience leading the sales of large cloud engagements, especially those involving Cloud & AI Data projects to large/global enterprise customers 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 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. Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture). 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. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

Engage with customers to understand their complex technical needs and ensure solutions meet their requirements. Remove technical roadblocks and influence technical decisions to accelerate customer progress and solution adoption.