Solution Engineer - Cloud & AI Applications

Microsoft Microsoft · Big Tech · United States · Solution Engineering

Solution Engineer focused on helping enterprise customers adopt and integrate Microsoft's Cloud & AI Applications, including AI Foundry and Azure AI. The role involves driving technical sales through Proof of Concepts, hackathons, and workshops, guiding customers on secure and scalable solution design for AI applications, and resolving technical blockers. Expertise in Agentic AI frameworks, Azure AI services, and cloud-native development is required.

What you'd actually do

  1. Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
  2. Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
  3. Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
  4. Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  5. 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).

Skills

Required

  • Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR 3+ years technical pre-sales or technical consulting experience OR equivalent experience

Nice to have

  • 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 infrastructure, architecture designs, migrations, industry standards, and/or technology management
  • Proficient on Agentic framework, AI Management & Security (e.g., Gen AI Ops, Sentinel, Responsible AI, orchestrator, monitoring)
  • Skilled with 1 or more frameworks, tools, languages (e.g., GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools)
  • Understanding of full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
  • Familiarity of AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel,

What the JD emphasized

  • Agentic AI framework
  • Responsible AI
  • AI Foundry
  • Azure AI

Other signals

  • AI Foundry
  • Azure AI
  • Agentic AI development
  • AI-native
  • Responsible AI