Cloud Solutions Engineer - AI & Apps

The Cloud & AI Platform Solution Engineer (SE) is a customer‑facing technical sales role responsible for winning technical decisions on Application Modernisation and AI . SEs combine deep technical expertise with consultative skills to connect Microsoft technology capabilities to measurable customer outcomes.    Accountable for Agentic AI & app platforms for all conversations by driving transformation of legacy app platforms using agentic & AI tools with Foundry, GitHub Copilot, Copilot Studio powered by Work IQ, Fabric IQ, Foundry IQ, Web IQ, secured & governed by Agent 365.    You will lead strategic technical engagements, build strong customer relationships, and secure technical wins across core and adjacent solution areas. Working closely with partners and internal teams, you will facilitate successful project delivery, identify capability gaps, and contribute to the development of technical strategies. You will also gather competitive insights, provide feedback to product and engineering teams, and help shape go-to-market approaches that strengthen customer success and Microsoft’s market position.

Responsibilities  Provides strategic, technical, and partner input based on Microsoft capability at the account level to contribute to strategy development, leveraging partner, competitor, or open-source knowledge. Architectural Depth (L300+): Agentic AI platform design & lifecycle mgmt. Solution Depth (L400+): Foundry Models (AOAI + Anthropic, 1P MaaS), Foundry Services, Fabric IQ, Foundry IQ, Copilot Studio Platform, App Platform Svc, Container Svc, Serverless App Svc, Integration Svc, dev tools & languages Consultative Selling — proactive, outcome-first, exec-level engagement, co-design Compete knowledge - Demonstrates deep competitive expertise to position differentiated Azure value proposition    Education   Monitors and responds to internal tech community posts, attends community calls, sessions, hackathons, etc., and acts as a mentor for their technology area. Demonstrates new and updated products to increase internal virtual teams' understanding of solutions and new opportunities, emphasizing continuous security enhancement and regulatory compliance. Builds their own readiness plan and proactively identifies learning gaps. Grows domain knowledge and practices expertise by communicating with customers, partners, and senior colleagues to expand knowledge of architecture.    Leverage Partner Ecosystem  Supports partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams (e.g., Global Partner Solutions). Engages in partner sell-with scenarios by acting as liaison between the partner and team and facilitating partner resources and processes throughout the course of the project.    Scale Customer Engagements  Leverages foundational knowledge of resources (e.g., roles, The Innovation Hub , demo sites, virtual sites, Value Based Delivery [VBD], Customer Success Unit [CSU]) and proactively engages product teams (e.g., engineering) to remediate blockers by conveying impact. Uses knowledge of customer context, solution or portfolio expertise, and technical and industry knowledge to build credibility with customers and act as a trusted advisor to assess and consult on their security needs.Engages with and reaches out to customers proactively and independently. Leads and ensures technical wins for core and adjacent technologies by leading technical discussions with customers and establishing rules of engagement (e.g., role boundaries, handoff strategies) for extended teams, leveraging knowledge of processes, tools, and programs (e.g. Partner led and End Customer Investment Funds [ECIFs]). Searches for customer references to use in engagements    Solution Design and Proof  Demonstrates and oversees demonstrations (e.g, architectural design sessions, and proof of concept [POC] sessions) of products, services, and integration through initial