Job Title

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. The engagement is Perth-based and involves implementing an edge-to-cloud architecture across 18 remote operational sites, scaling an AI platform to support 500+ concurrent agents, and delivering 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. Key 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 thirdparty 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 selfservice 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 customerled operations. Build platform engineering capability within the customer''s technology teams. Basic Qualifications Experience leading the architecture and design (patterns, reliability and scaling) of new and current systems. Experience developing technology solutions and evangelising endtoend technology roadmaps that guide IT transformations toward cloud computing. Experience leading highlyavailable and faulttolerant enterprise and webscale software deployments. Experience building largescale machine learning and AI solutions at Internet scale. 10+ years of managing an engineering team operating at scale. Experience in executive level engagement with SVP/VP/CSuite. 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 decisionmaking, or experience delivering results for large, crossfunctional initiatives/projects. Preferred Qualifications Mining, resources, or heavy industry experience understanding of OT/IT convergence, edge connectivity constraints, safety systems, and sitebased 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. #J-18808-Ljbffr