Responsibilities Early‑Stage Architectural Leadership Engage with high‑engineering‑density Digital Native and ISV customers that meet Dev CoE criteria (early architectural lock‑in risk and developer‑experience constraints). Serve as senior technical advisor to founders, CTOs, platform leaders, and Staff+ engineering stakeholders. Guide design of secure, scalable, AI‑enabled architectures using Azure AI Foundry, GitHub Copilot, cloud‑native compute, and modern engineering practices. Lead design reviews, modernization discussions, and deep architectural evaluations that influence long‑term technical direction. Remove early engineering blockers by coordinating subject‑matter experts and establishing clear architectural patterns. Developer Experience & AI Thought Leadership Shape early developer workflows, tooling decisions, and AI‑assisted engineering practices within high‑velocity teams. Drive adoption of Copilot, intelligent IDE workflows, and emerging agentic DevOps approaches. Align customer engineering strategies with Microsoft’s platform roadmap, supporting informed technical decisions at critical early milestones. Pattern Development & Global Field Scalability Translate recurring customer scenarios into reusable architecture patterns, templates, guides, and validated design scenarios. Contribute to global communities of practice across CSAs and developer engineering teams. Provide recurring, high‑quality product feedback to Azure, GitHub, and PG engineering based on early‑stage customer use cases. Capture and distribute patterns that prevent repeated architectural pitfalls across Digital Native and ISV ecosystems. Business Impact & Organizational Alignment Drive measurable customer impact through improved developer velocity, stronger architectural foundations, and early Azure alignment. Partner with account‑aligned CSAs, CSAMs, AEs, and engineering teams to ensure cohesive customer engagement. Support FY27 Digital Native segmentation by enabling a consistent, repeatable early‑stage engagement model. Maintain operational rigor across governance, delivery excellence, time tracking, and cross‑team alignment. Qualifications 10+ years of experience in cloud architecture, software engineering, or technical consulting. Experience working directly with developers, platform teams, and engineering leadership. Ability to lead architectural strategy discussions and influence senior technical decision-makers. Strong depth in cloud-native engineering, including microservices, APIs, containers, CI/CD, GitHub, DevOps, and observability practices. Hands-on expertise in AI/ML systems, vector search, RAG patterns, Azure AI Foundry, or modern agentic architecture approaches. Proven ability to create reusable architecture patterns, technical IP, or engine Experience with Digital Native or ISV customer environments. Familiarity with developer productivity tooling and AI-assisted SDLC workflows. Ability to influence engineering strategy across multiple customers or geographies. Demonstrated experience partnering with product engineering teams across Azure, GitHub, or PG.

About Microsoft

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.