Solution Engineer - Cloud & AI Software, Dev Tools, and AI

Microsoft Microsoft · Big Tech · United States · Solution Engineering

Solution Engineer role focused on helping enterprise developers understand and adopt Microsoft's AI-powered developer stack, including GitHub, Visual Studio, and Azure AI. The role involves technical sales, hands-on engagements (PoCs, hackathons), and guiding customers in integrating AI into their development workflows to boost productivity and become AI-native.

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 as well as AI decision makers to 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 GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices).

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 infrastructures, architecture designs, migrations, industry standards, and/or technology management.
  • Experience with cloud-native development: APIs, containers, microservices, event-driven design.
  • Experience engaging enterprise development teams, including developers, architects, and technical decision makers.
  • Proficiency in modern languages like JavaScript/TypeScript, Python, C#, or Java, and frameworks such as .NET, Node.js, or React.
  • Hands-on expertise with GitHub, Visual Studio Code, CI/CD, DevOps, and platform engineering (e.g., observability, security, performance).
  • Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.

What the JD emphasized

  • AI-powered developer stack
  • Agentic DevOps
  • AI agents
  • AI integration
  • AI-native

Other signals

  • customer adoption
  • AI integration
  • developer productivity
  • AI-native development