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Cloud & AI Platform Solution Engineer

Australia, Sydney · Job Posted May 17, 2026
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Job Description

Are you passionate about data, AI, and solving complex enterprise challenges? Join Microsoft as a Cloud & AI Platform (CAIP) Data Solution Engineer supporting strategic enterprise customers across Australia. As part of Microsoft’s Customer and Partner Solutions (MCAPS) organisation, you’ll work within a globally connected Solution Engineering team, partnering with colleagues across regions while acting as a key technical voice locally. In this pre-sales, technical sales role, you’ll help customers design and implement modern data platforms and AI-driven solutions on Azure unlocking value across analytics, governance, and AI. You’ll translate Microsoft’s Data + AI platform (including Fabric, Databricks, Purview, and AI Foundry) into real business outcomes and guide customers towards secure, scalable, production-ready architectures. As a trusted technical advisor, you will: Lead data-led transformation conversations with business and technical decision-makers; Drive end-to-end scenarios across Data + AI, with integration into Apps + AI; Help customers make confident technology decisions in highly competitive environments. This role requires deep expertise in Data and strong working capability across Apps + AI, combining technical depth with commercial impact in a highly visible, enterprise-focused role.

Job Responsibility

  • Drive technical sales and solution design
  • Lead customer engagements using demos, PoCs, and architecture workshops to land scalable Data + AI solutions
  • Own Data platform strategy conversations
  • Guide customers across modern data estate design, including analytics, governance, and AI-infused data workloads
  • Deliver hands-on engagements
  • Run hackathons, MVPs, and architecture design sessions to accelerate production adoption
  • Build trusted advisor relationships
  • Partner with data leaders, architects, and engineering teams to co-design secure, governed, and scalable platforms
  • Resolve blockers and influence roadmap
  • Address technical objections and collaborate with engineering to improve Microsoft offerings
  • Maintain deep technical expertise (Data-first focus)
  • Represent Microsoft externally
  • Contribute to thought leadership across Data & AI communities and customer forums

Requirements

  • 8+ years of experience in technical pre-sales, consulting, development, or data platform engineering
  • Demonstrated 400-level expertise in Data platforms and analytics
  • 200–300 level familiarity with Apps + AI architectures (AI services, APIs, app integration patterns)
  • Proven ability to engage enterprise customers and influence technical decision-makers
  • Strong ability to align technical solutions with business outcomes
  • Experience leading technical engagements (PoCs, MVPs, architecture design sessions)

Nice to have

  • Experience working with or selling into professional services organisations (e.g. Big 4, consulting, advisory firms)
  • Experience with end-to-end data modernization (data estate, governance, analytics, AI integration)
  • Hands-on experience with Microsoft Fabric, Databricks, and Purview
  • Familiarity with AI-assisted development and agentic scenarios (e.g., Copilot, AI workflows)
  • Experience working across data + application integration scenarios
  • Ability to shape customer strategy through technical leadership

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