Solution Engineer, Cloud and AI Platform - Apps

OverviewAre you passionate about modern applications, AI-powered engineering, and helping enterprise customers build secure, scalable, production-ready solutions? Join Microsoft as a Cloud & AI Platform (CAIP) Apps Solution Engineer supporting strategic customers in the Professional Services Operating Unit across Australia and New Zealand. In this technical sales role, you will help customers modernize applications, build AI-infused solutions, and move from experimentation to secure, scalable production outcomes on Azure.This role is designed for candidates who understand professional services organizations, including consulting, advisory, audit, tax, legal, systems integration, or related client-service environments. You will connect Microsoft Apps + AI capabilities to high-value scenarios such as client delivery, knowledge reuse, proposal and pursuit workflows, secure collaboration, productivity at scale, and AI-assisted service delivery.The role requires deep Apps + AI expertise, with working knowledge of the data, governance, and grounding patterns needed for production intelligent applications.ResponsibilitiesLead technical sales engagements with strategic Professional Services OU customers through demos, PoCs, architecture workshops, hands-on labs, and <hackathons.Guide> customers across application modernization, cloud-native architecture, APIs, microservices, containers, integration patterns, and AI-infused application <design.Design> intelligent application and agentic workflow patterns using Azure application platform services, Azure AI Foundry, and GitHub Copilot.Translate Apps + AI capabilities into professional services business outcomes, including client delivery efficiency, knowledge management, regulated workflow modernization, and reusable AI-enabled service <assets.Build> trusted advisor relationships with application leaders, enterprise architects, platform teams, engineering teams, security stakeholders, and business <decision-makers.Drive> GitHub Copilot and AI-assisted engineering scenarios that improve developer productivity, software quality, and secure software delivery.Resolve technical blockers, influence customer architecture decisions, and provide product feedback to Microsoft engineering.Technical FocusAdvanced Apps + AI expertise: Azure App Service, Azure Functions, Container Apps, AKS, API Management, Event Grid, Service Bus, Logic Apps, cloud-native architecture, DevOps, resiliency, observability, and security.Advanced intelligent application expertise: Azure AI Foundry, Azure AI services, copilots, agentic workflows, agent orchestration, tool integration, grounding strategies, and production AI application lifecycle management.GitHub expertise: GitHub Copilot, GitHub Actions, GitHub Advanced Security, AI-assisted software delivery, and developer productivity adoption patterns.Working knowledge: data services, Azure databases, Fabric, Databricks, Purview, governance, RAG, analytics, and data grounding patterns that support production AI applications.QualificationsRequired Qualifications 8+ years of experience in technical pre-sales, consulting, software engineering, cloud architecture, or application platform engineering Professional services industry experience, either serving professional services customers or working in consulting, advisory, audit, tax, legal, systems integration, or related client-service environments.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 Preferred Qualifications 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is <filled.Microsoft> is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.