Solution Engineer, Cloud & AI Applications
Microsoft
This job at a glance
- Who can apply
- 1 year+ of experience · Bachelor's degree or Master's degree
- Must know
- AzurePythonJavaC#REST APIsMicroservices
- Nice to have
- Sales
- Work
- On-site in United States
- Pay
- Not stated by the employer.
- Skill demand
- Python29%Azure19%Java10%C#4%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 11, 2026 · still open
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About the Role
Join Microsoft as a Solution Engineer - Cloud & AI Applications, working with commercial customers on cutting-edge projects leveraging the latest technologies to drive meaningful impact. You will help customers adopt innovations in AI Foundry, Azure AI, and Responsible AI to boost productivity, drive innovation, and become AI-native. This role involves accelerating AI development across the lifecycle, empowering enterprise AI developers, and modernizing applications.
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 (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
- Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
- Represent Microsoft through thought leadership in developer communities and customer forums.
Requirements & Tech Stack
- Expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI)
- Expertise in App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET)
- Expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring)
- Experience with 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)
- Understanding of full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
- Familiarity of AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
- Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
Qualifications
- 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
Additional/Preferred Qualifications
- 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
This role is flexible in that you can work up to 50% from home. Travel percentages will vary.
Microsoft is unable to sponsor a work visa for this role.