Solution Engineer, Cloud and AI Platform - Apps

Drive technical sales and solution design Lead customer engagements using demos, PoCs, architecture workshops, hands-on labs, and hackathons to land scalable Apps + AI solutions. Own application modernization and intelligent app strategy conversations Guide customers across cloud-native architecture, app modernization, APIs, microservices, containers, integration patterns, and AI-infused application design. Accelerate production adoption Run MVPs, design sessions, and technical enablement to move customers from experimentation to secure, governed, production-ready implementation. Build trusted advisor relationships Partner with application leaders, enterprise architects, platform teams, and engineering teams to co-design resilient, secure, observable, and scalable solutions. Drive GitHub Copilot and developer productivity outcomes Drive GitHub Copilot and AI-assisted engineering scenarios, helping customers improve developer productivity, software quality, and AI-powered software delivery practices. Resolve blockers and influence roadmap Maintain deep technical expertise (Apps + AI-first focus) Contribute to thought leadership across Apps, AI, developer, and customer communities through briefings, workshops, forums, and field enablement. 8+ years of experience in technical pre-sales, consulting, software engineering, cloud architecture, or application platform engineering Demonstrated 400-level expertise in application modernization, cloud-native application architecture, integration patterns, and Apps + AI solution design 200-300 level familiarity with Data + AI architectures, including data platforms, databases, governance, and analytics patterns that support intelligent applications Proven ability to engage enterprise customers and influence technical decision-makers across application, platform, data, security, and engineering teams Strong ability to align technical solutions with customer business outcomes and field sales priorities Experience leading technical engagements such as PoCs, MVPs, architecture design sessions, hands-on labs, workshops, and hackathons Experience with end-to-end application modernization, including legacy app assessment, migration, refactoring, API strategy, cloud-native redesign, and production operations Hands-on experience with Azure App Service, Azure Functions, Container Apps, AKS, API Management, Logic Apps, Service Bus, Event Grid, Azure Developer CLI, and related developer tooling Familiarity with Azure AI Foundry, Azure OpenAI, agentic workflows, copilots, prompt engineering, RAG patterns, and responsible AI practices Experience with GitHub, GitHub Advanced Security, GitHub Actions, and GitHub Copilot adoption or enablement Ability to shape customer strategy through technical leadership, storytelling, executive-ready architecture narratives, and hands-on execution