AWS Professional Services is seeking a Strategic Infrastructure Modernisation Consultant to lead the design and deployment of a modern digital foundations architecture and enterprise AI platform for one of Australia's largest mining and resources companies. This is a Perth-based engagement to implement an edge-to-cloud architecture across 18 remote operational sites, scale an AI platform from initial deployment to enterprise-grade operations supporting 500+ concurrent agents, and deliver a sequenced pipeline of AI use cases. The program has already validated the target architecture and deployed the initial AI platform during its first year.
You will be the senior technical leader for the platform and infrastructure stream, responsible for architecture implementation, multi-site rollout, AI platform hardening, and operational transition. You will lead a team of 7 engineers spanning MLOps/DevOps, cloud platform, network/IoT, and data engineering.
Key job responsibilities Platform and Architecture Leadership
- Lead implementation of the approved target architecture (edge-to-cloud, security, connectivity, observability) across operational sites
- Harden the AI platform for enterprise-scale operations — 500+ concurrent agent capacity, full governance framework, CI/CD pipelines
- Deploy repeatable patterns for scalable site-by-site rollout
- Implement modern data transfer patterns from edge-to-cloud with single-source-of-truth data access
- Integrate with existing third-party platforms
AI Platform Scale-Out
- Scale production agents across Operations, Maintenance, and Commercial domains
- Implement full governance framework — guardrails, audit trails, cost accounting, agent lifecycle management
- Enable citizen development patterns — self-service agent creation with appropriate guardrails
Executive Engagement
- Operate as a trusted advisor to the customer's infrastructure and operations leadership
- Translate infrastructure and platform decisions into business outcomes for Steering Committee and Board audiences
- Coordinate with the modernisation stream lead to ensure foundations support the modernisation roadmap
Team and Capability Building
- Lead and mentor a team of MLOps/DevOps engineers, cloud platform engineers, network/IoT specialists, and data engineers
- Establish platform operations team and transition to customer-led operations
- Build platform engineering capability within the customer's technology teams
About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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Basic Qualifications
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience leading highly-available and fault-tolerant enterprise and web-scale software deployments
- Experience building large-scale machine learning and AI solutions at Internet scale
- 10+ years of managing an engineering team operating at scale experience
- Experience in executive level engagement with SVP/VP/C-Suite
- Experience working with customers on substantial, strategic, and complex software or cloud services/infrastructure deals from opportunity through closure
- Experience in building financial and operational reports/data sets that inform business decision-making, or experience delivering results for large, cross-functional initiatives/projects
Preferred Qualifications
- Mining, resources, or heavy industry experience — understanding of OT/IT convergence, edge connectivity constraints, safety systems, and site-based delivery
- Experience with IoT/edge computing deployments in operational technology environments
- Familiarity with AWS Bedrock, SageMaker, and agentic AI architectures
- Experience integrating with Databricks and Oracle platforms
- Experience in the Australian market
Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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