Solution Engineer, Cloud & AI Apps

Microsoft is transforming the developer experience for AI applications across the development lifecycle. As a Cloud & AI Solution Engineer, you will help customers adopt innovations in AI to drive productivity and modernize their applications.

Responsibilities:

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
• Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms
• Build trusted relationships with developers and platform leads, 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 AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET)
• Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring)
• Represent Microsoft through thought leadership in developer communities and customer forums

Requirements:

• 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
• 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)
• 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.)
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes