Cloud & AI Principal Solution Engineer

Drive technical sales engagements with decision-makers by using demonstrations and proofs of concept to influence solution design and enable production deployments Build trusted relationships with developers and platform leaders to co-design secure and scalable architectures and solutions Resolve technical blockers and address objections while collaborating with engineering teams to share customer insights and improve products Maintain expertise in AI Foundry and application architecture, including agentic AI frameworks, Semantic Kernel, the Foundry software development kit, Responsible AI, cloud-native development, application programming interfaces, containerization, microservices, event-driven architectures, Python, Java, and .NET Maintain and grow expertise in AI management and security Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship 8+ years of technical pre-sales, technical consulting, technology delivery, or related experience OR equivalent experience 6+ years of experience with cloud, hybrid, or on-premises infrastructure, architecture design, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines, such as Office 365, Power BI, Azure architecture and development, cloud platform technologies, information security, or architecture Experience with one or more development frameworks, tools, or programming languages, such as GitHub, Copilot Studio, Visual Studio Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, or AI-assisted development tools Understanding of full-stack application architecture design and modernization and cloud-native development, including application programming interfaces (APIs), containerization, microservices, event-driven architectures, Python, Java, and .NET Familiarity with AI orchestration, including agentic AI frameworks, AI Foundry, Semantic Kernel, the Foundry software development kit (SDK), Responsible AI, fine-tuning, and inferencing Proven ability to lead technical engagements, such as hackathons, proofs of concept (PoCs), and minimum viable products (MVPs), that drive production-scale outcomes