Cloud and AI Solution Architect - Fsi

Microsoft Microsoft · Big Tech · Sydney, NSW, Australia +2 · Cloud Solution Architecture

This role focuses on architecting and guiding the adoption of Azure application platforms and AI-enabled solutions for financial services customers. The primary goal is to help these institutions modernize their applications, improve developer productivity, and achieve business outcomes through cloud-native and AI-driven experiences, while adhering to strict regulatory and security requirements.

What you'd actually do

  1. 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.
  2. 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.
  3. Assess customer application landscapes to identify modernisation, resilience uplift, cost optimisation, and AI driven innovation opportunities, aligned to FSI risk, security, and regulatory expectations.
  4. 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.
  5. Deliver repeatable, high quality architecture and implementation patterns, contributing to shared IP, reference architectures, pipelines, and best practices to accelerate and de risk delivery.

Skills

Required

  • Application architecture or software engineering
  • Cloud application development or modernisation
  • DevOps or CI/CD implementation
  • Technical consulting
  • Azure application platforms
  • AKS
  • App Services
  • cloud native architectures
  • AI enabled solutions
  • security
  • resilience
  • compliance
  • scalability
  • cost governance
  • Azure Well Architected Framework principles

Nice to have

  • AI transformation
  • responsible AI integration
  • Azure cloud
  • financial services
  • superannuation
  • insurance

What the JD emphasized

  • highly regulated and risk-sensitive FSI environments
  • stringent regulatory, security, privacy, and compliance requirements
  • FSI risk, security, and regulatory expectations
  • regulatory posture
  • mission critical FSI workloads