Okay, I've searched for Cloud & AI Solution Engineer roles focused on software development tools and AI in Oklahoma, full-time, requiring 3 years or more of technical pre-sales or consulting experience. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Cloud & AI Solution Engineer role at Microsoft is fundamentally about bridging cutting-edge AI-driven software development tools with enterprise developer teams to drive innovation and digital transformation. The core purpose is to be a trusted technical advisor who not only understands the technical intricacies of Microsoft’s developer stack—including GitHub, Visual Studio, Azure AI, and related DevOps technologies—but also translates that understanding into tailored, scalable solutions that solve complex development lifecycle challenges. The candidate will be expected to engage deeply with developers, architects, and decision-makers in enterprises, leading hands-on technical engagements such as PoCs, hackathons, and architecture workshops, which speaks to a blend of technical depth and strong interpersonal skills. Critical qualifications emphasize both broad coding proficiency across popular languages and frameworks and hands-on experience with modern DevOps practices and AI-assisted development tools. This implies that successful execution requires navigating complex, evolving technology ecosystems and customer needs, often resolving blockers with a collaborative, solution-oriented mindset. Success in this role means not only accelerating adoption of Microsoft’s AI-enhanced developer platforms but also influencing enterprise strategies to fully integrate AI into the software development lifecycle, demonstrating measurable impact on productivity and innovation within customer organizations in the first year. The ability to synthesize technical expertise with strategic communication, build trusted relationships, and rapidly adapt to dynamic AI and cloud environments is key.

Company Analysis:

Microsoft is a global technology leader with a strong mission to empower every organization and individual to achieve more, leveraging technology as a positive force for change. The company's culture emphasizes continuous learning, authenticity, inclusion, and collaboration, which suggests a supportive and growth-oriented work environment for this role. As a large, widely influential player in the cloud and AI space, Microsoft is pioneering agentic DevOps and AI-native development, positioning this role at the intersection of innovation and market leadership. The Cloud & AI Solution Engineer sits in a strategic spot—an individual contributor with significant cross-functional influence—acting as a technical ambassador both internally and externally. This role benefits from high visibility, working alongside both engineering teams and enterprise customers to drive adoption of advanced developer tools. Microsoft's emphasis on diversity, equity, and inclusion, alongside a culture that prizes intellectual curiosity and openness to bias learning, indicates that the right candidate will thrive by embracing these values and demonstrating cultural agility. In terms of strategic alignment, this role is very much growth-oriented and transformative, aiming to scale Microsoft’s AI-enhanced developer solutions adoption within large enterprises, thus directly contributing to Microsoft's broader cloud and AI expansion goals. Candidates should expect to operate within a fast-evolving product and market context, requiring resilience and proactive stakeholder management.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you facilitated a technical workshop or hackathon that led to a successful adoption of a new technology or process.
• Behavioral: Describe a situation where you had to resolve a technical objection or blocker with a customer. How did you approach it and what was the outcome?
• Behavioral: Share an experience where you had to collaborate with cross-functional teams to influence a technical decision under ambiguity. How did you manage differing perspectives?
• Behavioral: How do you keep yourself updated with emerging AI and cloud-native development trends, and how have you applied that knowledge in your previous roles?
• Technical/Role-Specific: How would you design and present a Proof of Concept that showcases the integration of GitHub Copilot and Azure AI to an enterprise development team?
• Technical/Role-Specific: Can you explain your experience with implementing CI/CD pipelines in cloud-native environments involving containers and microservices?
• Technical/Role-Specific: What strategies do you use to troubleshoot and remove technical blockers during customer engagements involving AI-assisted development tools?
• Technical/Role-Specific: Describe your experience with modern programming languages and frameworks like TypeScript, Python, or .NET in building scalable developer tools.
• Situational: Imagine a key stakeholder is skeptical about adopting AI-assisted coding tools due to security concerns. How would you address their concerns while promoting the technology?
• Situational: You are leading a hackathon with a diverse team of developers new to Azure AI. Halfway through, the team encounters a major platform limitation. How do you steer the situation to a productive outcome?
• Situational: If a customer wants to integrate GitHub and Visual Studio tools but their current development lifecycle is heavily siloed and manual, what steps would you recommend to modernize their approach?
• Company Fit/Motivation: What excites you most about Microsoft’s approach to embedding AI into the software development lifecycle?
• Company Fit/Motivation: How do you see your personal values aligning with Microsoft’s culture of inclusion, continuous learning, and collaboration?
• Company Fit/Motivation: Why are you interested in a technical sales role versus a purely engineering or consulting role within the AI and cloud development space?
• Questions for the Candidate to Ask the Interviewer: What are the biggest challenges your customers currently face when adopting AI-assisted software development tools, and how is the team addressing them?
• Questions for the Candidate to Ask the Interviewer: How does this role collaborate with product engineering teams at Microsoft to influence the roadmap based on customer feedback?
• Questions for the Candidate to Ask the Interviewer: Can you describe the typical career path for a Cloud & AI Solution Engineer at Microsoft and opportunities for growth and specialization?