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Microsoft

Solution Engineer, Cloud and AI Platform - Apps

Posted Yesterday
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In-Office
Sydney, New South Wales, AUS
Senior level
In-Office
Sydney, New South Wales, AUS
Senior level
Technical pre-sales role partnering with enterprise customers in ANZ to design and deliver cloud-native, AI-infused application solutions on Azure. Lead architecture workshops, PoCs, hands-on labs, and enablement to drive production-ready app modernization, APIs, microservices, integration, and GitHub Copilot–driven developer productivity outcomes.
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Overview

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 enterprise customers across Australia and New Zealand. In this technical sales role, you will partner with customers to modernize applications, accelerate AI-infused app development, and turn business priorities into real production outcomes on Azure. 

You will help customers design and implement cloud-native applications, APIs, microservices, integration patterns, and agentic workflows that combine Azure application platform services, Azure AI Foundry, and GitHub Copilot. You will partner across ANZ and broader APAC engagements, extending technical leadership through workshops, design sessions, hands-on labs, and customer acceleration activities. 

As a trusted technical advisor, you will: 

  • Lead Apps + AI transformation conversations with business and technical decision-makers 

  • Drive end-to-end scenarios across application modernization, intelligent apps, APIs, integration, and agentic workflows 

  • Translate Microsoft's Apps + AI platform - including Azure app services, Azure AI Foundry, and GitHub Copilot - into measurable customer outcomes 

This role requires deep expertise in Apps + AI (400-level) and working knowledge of data platform, governance, and AI grounding patterns (200-300 level) required for production intelligent applications. 


Responsibilities

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 

Address technical objections, unblock customer adoption, and collaborate with product engineering to improve Microsoft offerings. 

  • Maintain deep technical expertise (Apps + AI-first focus) 

    • Expert (400-level) in: 

      • Azure application platform services, including App Service, Azure Functions, Container Apps, AKS, API Management, Event Grid, Service Bus, and Logic Apps 

    • Application modernization patterns, including cloud-native architecture, microservices, APIs, event-driven systems, DevOps, resiliency, observability, and security 

    • Azure AI Foundry / Azure AI services for intelligent applications, copilots, agentic workflows, and AI-enabled business processes 

    • AI application architecture patterns, including agent orchestration, MCP implementations, tool integration, grounding strategies, and production AI application lifecycle management 

    • GitHub and GitHub Copilot patterns for AI-assisted software delivery, developer productivity, and secure engineering practices 

    • Advanced/Working level (200-300 level) in: 

      • Data services and governance concepts that enable intelligent applications, including Azure databases, Fabric, Databricks, Purview, and data grounding patterns 

    • Data grounding, retrieval-augmented generation, governance, and analytics patterns that support production AI applications 

    • Represent Microsoft externally 


Contribute to thought leadership across Apps, AI, developer, and customer communities through briefings, workshops, forums, and field enablement.


Qualifications

Required Qualifications 

  • 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 


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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