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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