Overview
Are you passionate about building the next generation of AI-powered applications and leading complex customer transformations? As a Cloud & AI Apps Solution Engineer, you will bring deep technical expertise in agentic AI, AI application architecture, and cloud-native development while helping customers turn ambition into secure, scalable, production-ready solutions.
This is a senior individual contributor technical sales role with primary depth in AI & Apps and a broad leadership mandate across the Microsoft platform. You will lead strategic technical engagements, orchestrate expertise across Business Applications, Security, Cloud & AI Platform, Data, engineering, partners, and the broader field, and bring the best of Microsoft together around customers' most important transformation priorities.
You will also help scale the business beyond your own engagements by creating repeatable technical motions and reusable assets, sharing field insights, coaching peers, and influencing technical strategy. This opportunity will allow you to deepen your AI and application expertise, grow business and customer acumen, and expand your impact as a technical leader who leads through influence.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Lead strategic Agentic AI and AI-powered application customer engagements, bringing deep expertise in application architecture, agent development, application modernization, and cloud-native development.
- Lead cross-solution AI transformation by orchestrating technical expertise across AI & Apps, Business Applications, Security, Cloud & AI Platform, Data, engineering, partners, and field teams to address end-to-end customer priorities.
- Win technical decisions through envisioning, architecture and design sessions, live demonstrations, rapid prototyping, proofs of concept, pilots, and resolution of technical blockers that accelerate production deployment decisions.
- Connect customer business and technology priorities to technical sales opportunities, competitive positioning, pipeline creation, customer commitment, and deployment outcomes.
- Lead and scale a portion of the pre-sales business by identifying recurring customer patterns, shaping repeatable technical motions, and creating or reusing architectures, demonstrations, guidance, and assets that can be leveraged by the broader field.
- Lead through influence across the Solution Engineering community by coaching peers, sharing best practices, raising technical capability, and creating clarity across complex cross-solution engagements without formal people-management authority.
