About the Role

As a Cloud & AI Solution Engineer at Microsoft, you will help enterprise AI developers leverage Microsoft's AI-powered stack across the development lifecycle. You'll drive technical sales, lead hands-on engagements like hackathons and PoCs, and design secure, scalable AI solutions.

Key Responsibilities

• Drive technical sales with demos and PoCs to influence solution design and enable production deployments
• Lead hands-on engagements like hackathons, code-with sessions, and architecture workshops to accelerate adoption
• Build trusted relationships with developers and platform leads to co-design secure, scalable architectures
• Resolve technical blockers and collaborate with engineering to share insights and improve products
• Maintain deep expertise in AI Foundry, App architecture, and AI Management & Security

Required Skills & Qualifications

Must Have:

• Extensive experience in technical pre-sales or technical consulting OR Bachelor's/Master's degree in Computer Science/Engineering/IT with such experience
• Expert in full stack App architecture design/modernization and cloud native development (APIs, containerization, microservices, event-driven, Python, Java, .NET)
• Expert in AI & ML models (Agentic AI framework, AI Foundry, Semantic Kernel, LangChain, Responsible AI, fine-tuning/inferencing)
• Proven ability to lead technical engagements (hackathons, PoCs, MVPs) that drive production-scale outcomes

Nice to Have:

• Extensive experience with cloud and hybrid or on-premises infrastructure, architecture designs, migrations, and industry standards
• Proficient in Agentic framework, AI Management & Security (Gen AI Ops, Sentinel, Responsible AI, orchestrator, monitoring)
• Skilled with frameworks, tools, languages (GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools)

Benefits & Perks

• Industry leading healthcare