Solution Engineer, Cloud and AI Platform - Apps
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AI Summary
Are 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.
Responsibilities
- Lead 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 Focus
- Advanced 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.
Qualifications
Required 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.
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