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About the role

Cloud & AI Solution Engineer – AI Applications at Microsoft

Required Skills

pythonjava.netai/mlcloud nativemicroservicescontainerizationazure airesponsible ai

About the Role

Cloud & AI Solution Engineer focusing on AI applications for commercial customers at Microsoft. The role involves helping enterprise AI developers leverage Microsoft's AI-powered stack through technical engagements like Proof of Concepts, hackathons, and architecture workshops. Responsibilities include guiding customers through secure, scalable solution design and accelerating AI applications development.

Key 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 and App architecture/cloud native dev

Required Skills & Qualifications

Must Have:

  • 5+ years technical pre-sales or technical consulting experience OR equivalent education/experience combination
  • 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)
  • Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes

Nice to Have:

  • 8+ years technical pre-sales, technical consulting, or technology delivery experience
  • 6+ 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)

Benefits & Perks

  • Industry leading healthcare