Cloud & AI Solution Engineer - Software, Development Tools and AI at Microsoft

Required Qualifications (RQs) 

• 5+ years technical pre-sales or technical consulting experience  
• OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience  
• OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience  
• OR equivalent experience 
• 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. 

Preferred Qualifications (PQs) 

• 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 
• Experience with cloud-native development: APIs, containers, microservices, event-driven design. 
• Familiarity with AI-assisted tools (e.g., GitHub Copilot), low-code/pro-code platforms, and Azure AI. 
• Ability to shape technical strategy through thought leadership and community engagement. 
• Experience aligning technical solutions with business goals in collaboration with sales and partners. 

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 as well as AI decision makers to 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 GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices). 
• Represent Microsoft through thought leadership in developer communities and customer forums