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Cloud and AI Solution Architect - FSI

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Microsoft Corporation

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Location:
Australia , Sydney ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Bring your cloud and AI engineering expertise to our Financial Services, Superannuation and Insurance (FSI) team and help shape the future of Australia and New Zealand’s most critical financial institutions. In this role, you will architect modern, secure, and intelligent applications on Azure for leading banks, insurers, and superannuation funds—powering the digital, data, and AI‑driven experiences relied on by millions of customers every day.

Job Responsibility:

  • Lead deep technical architecture discussions with FSI customer CTOs, Chief Architects, technology risk leaders, and engineering teams, focusing on Azure application platforms, AKS, App Services, cloud native architectures, DevOps, and AI enabled solutions.
  • Own key production grade outcomes across application modernisation and AI platform workloads, ensuring architectures are secure, resilient, compliant, scalable, and cost governed in regulated environments.
  • Assess customer application landscapes to identify modernisation, resilience uplift, cost optimisation, and AI driven innovation opportunities, aligned to FSI risk, security, and regulatory expectations.
  • Apply Azure Well Architected Framework principles with emphasis on security, availability, recoverability, data protection, and operational resilience.
  • Act as a trusted advisor to FSI customers, guiding them through application and AI platform adoption while maximising business value, platform health, resilience, and consumption outcomes.
  • Partner with customer stakeholders and account teams to shape, refine, and execute Customer Success Plans aligned to business outcomes, regulatory posture, and transformation roadmaps.
  • Drive customer technical intensity through architecture workshops, design sessions, hackathons, and community engagements focused on cloud native and AI powered application development.
  • Support Cloud Accelerate Factory led engagements, enabling zero cost deployment assistance to help customers safely jump start Azure application and AI workloads.
  • Deliver repeatable, high quality architecture and implementation patterns, contributing to shared IP, reference architectures, pipelines, and best practices to accelerate and de risk delivery.
  • Provide delivery oversight across Unified Support, Factory, and modernisation engagements, helping unblock escalations and ensuring strong architectural governance and execution discipline.
  • Support resiliency and production readiness initiatives across mission critical FSI workloads.
  • Work closely with Microsoft product engineering, partner organisations, and internal specialists to remove delivery blockers and shape customer aligned application and AI solutions.
  • Partner with systems integrators and service providers to scale application modernisation and AI delivery across complex FSI portfolios.
  • Mentor early in career Cloud Solution Architects and support capability uplift across the Applications CSA community through coaching, knowledge sharing, and technical leadership.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field AND 4–6 years of hands‑on experience in: Application architecture or software engineering
  • Cloud application development or modernisation
  • DevOps or CI/CD implementation
  • Technical consulting or solution delivery
  • OR equivalent professional experience.
  • At least 3 years of experience designing or implementing Azure application solutions or application platforms on another major cloud provider.
  • Demonstrated ability to influence technical decisions with senior customer stakeholders.

Nice to have:

  • 5+ years of experience designing, building, or modernising applications using cloud‑native or platform‑as‑a‑service technologies.
  • Experience with enterprise‑scale application architectures, DevOps pipelines, and reliability engineering practices.
  • Hands‑on experience with containers, Kubernetes, or serverless architectures.
  • Experience integrating AI capabilities into applications, including generative AI or agent‑based patterns.
  • Ability to communicate complex application architecture concepts clearly to both technical and non‑technical audiences.
  • Experience contributing reusable frameworks, reference architectures, or technical guidance.
  • Demonstrated problem‑solving capability, comfort with ambiguity, and ability to lead multi‑disciplinary teams.

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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