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Cloud and AI Solution Engineer

Microsoft

Sydney, New South Wales, AustraliaOn Site

Original Job Summary

Overview

Microsoft invites you to join as a Cloud and AI Solution Engineer. In this role, you are at the forefront of deploying secure, scalable, AI-powered solutions for the Financial Services Industry in Sydney. Work side-by-side with customers and partners to design innovative systems on Azure AI, AI Foundry, Responsible AI, and Microsoft’s cloud platform.

Responsibilities

You will be expected to:

  • Drive technical sales conversations using demos and proof-of-concepts.
  • Lead hackathons, code sessions, and architecture workshops.
  • Build trusted relationships with developers and platform leaders.
  • Resolve technical blockers and provide feedback to engineering teams.
  • Develop expertise in AI Foundry, Agentic AI frameworks, Semantic Kernel and more.
  • Grow skills in cloud-native development including APIs, containerization, microservices, and programming in Python, Java, or .NET.
  • Expand knowledge in AI management, GenAI Ops, Sentinel, and monitoring.
  • Represent Microsoft as a thought leader in various forums.

Qualifications

Minimum qualifications include:

  • 5+ years of technical pre-sales or technical consulting experience.
  • Bachelor’s Degree in Computer Science or Information Technology.

Preferred additional qualifications:

  • 4+ years experience with cloud/hybrid or on-prem infrastructures and architecture designs.
  • Relevant certifications (e.g., Azure Architect, Cloud Platform Technologies).

Key skills/competency

  • Cloud
  • AI
  • Solution Engineering
  • Azure
  • Technical Sales
  • Pre-sales
  • Architecture
  • Developer Tools
  • Hackathons
  • Security

How to Get Hired at Microsoft

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI, cloud experience and certifications.
  • Network strategically: Connect on LinkedIn and Microsoft events.
  • Prepare demos: Practice technical proofs and proof-of-concepts.
  • Research Microsoft: Understand their cloud and AI portfolio.

📝 Interview Preparation Advice

Technical Preparation

Review Azure AI documentation and case studies.
Practice coding in Python, Java, or .NET.
Set up cloud demo proofs and proof-of-concepts.
Familiarize with containerization and microservices concepts.

Behavioral Questions

Describe challenging client scenarios solved.
Explain teamwork during tech workshops.
Discuss conflict resolution in technical projects.
Share examples of creative problem-solving.