19 days ago
Sydney, Australia +4 moreStaff+
Responsibilities
- Define enterprise cloud, AI, and platform strategies aligned with customer business objectives.
- Lead architecture for large-scale transformation programs and ensure solutions are secure, scalable, supportable, and commercially sound.
- Establish Azure reference architectures, platform standards, governance frameworks, and best-practice patterns.
- Guide the design and implementation of agentic platforms, AI-enabled workflows, and emerging AI technologies.
- Provide architecture assurance across cloud, security, networking, data, application, and AI domains.
- Advise executive stakeholders through strategic engagements, technology roadmaps, and investment planning.
- Lead architects and multidisciplinary teams while mentoring other architects.
- Contribute to thought leadership, architecture communities, innovation initiatives, and reusable intellectual property.
Requirements
- Extensive experience in enterprise architecture, principal architecture, or senior technology leadership roles.
- Proven experience developing and governing enterprise technology strategies across cloud, infrastructure, security, networking, applications, and data platforms.
- Deep expertise in Microsoft Azure and modern cloud architecture, including governance, landing zones, identity, security, automation, and operating models.
- Demonstrated experience leading enterprise AI initiatives and AI platform adoption in large and complex organizations.
- Strong knowledge of Azure AI Foundry, Azure OpenAI, Azure AI Search, large language models, and modern AI architecture patterns.
- Experience designing enterprise AI solutions using retrieval-augmented generation, vector search, and AI orchestration patterns.
- Experience establishing AI governance, responsible AI controls, model lifecycle strategies, and enterprise AI operating models.
- Experience designing or overseeing agentic solutions, AI automation platforms, and intelligent business workflows.
- Strong understanding of cloud and AI security, resilience, observability, compliance, and risk management.
- Proven ability to establish architecture standards, governance frameworks, reference architectures, and strategic technology roadmaps.
- Experience leading architects and multidisciplinary teams across complex programs and transformation initiatives.
- Excellent communication and influencing skills for engaging senior executives, technical leaders, and delivery teams.
- Desirable experience includes enterprise AI Centers of Excellence, multi-cloud and hybrid cloud operating models, Kubernetes, platform engineering, GitHub Enterprise, GitHub Copilot, FinOps, and industry standards or advisory work.
- Desirable certifications include Azure Solutions Architect Expert, Azure AI Engineer Associate, Azure Security Engineer Associate, or TOGAF.
- Relevant degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
Benefits
- Hybrid workplace arrangement.
- Paid parental leave.
- 24/7 Employee Assistance Programme through DataCare.
- Ongoing learning, certifications, and career development opportunities.
- Access to industry-leading learning platforms and future skills training.
- Recognition programs, employee discounts, and financial wellbeing benefits.
- Meaningful work and a supportive, inclusive workplace culture.
Tech Stack
Categories
Solutions Engineering
