Amazon Web Services
Mining and Resources
StrategicInfrastructureModernisationConsultant
Neural analysis suggests this role is
optimal for Senior candidates.
“Strategic Infrastructure Modernisation Consultant at Amazon Web Services. Skills: Infrastructure Modernisation, AI Platform, Edge-to-cloud architecture, MLOps. Lead implementation of target architecture. Harden AI platform for enterprise scale”
What You'll Achieve.
Scale AI platform to enterprise-grade; Support 500+ concurrent agents; Deliver sequenced AI use cases
Industry & Context.
What They're Looking For.
Must Have
10+ years managing engineering team, Experience leading architecture and design, Experience developing technology roadmaps, Experience leading highly-available deployments, Experience building large-scale AI solutions, Experience in executive level engagement, Experience working with customers on deals, Experience building financial/operational reports
Nice to Have
Mining, resources, or heavy industry experience, Experience with OT/IT convergence, Experience with edge connectivity constraints, Experience with safety systems, Experience with site-based delivery, Experience with IoT/edge computing, Familiarity with AWS Bedrock, Familiarity with SageMaker, Familiarity with agentic AI architectures, Experience integrating with Databricks, Experience integrating with Oracle, Experience in Australian market
What You'll Do.
Lead implementation of target architecture
Harden AI platform for enterprise scale
Deploy repeatable patterns for site rollout
Implement modern data transfer patterns
Integrate with third-party platforms
Scale production agents
Implement full governance framework
Enable citizen development patterns
Operate as trusted advisor
Translate decisions into business outcomes
Coordinate with modernisation stream lead
Lead and mentor engineering team
Establish platform operations team
Transition to customer operations
Build platform engineering capability
How You'll Work.
Team & Collaboration
Cross-functional teams; Steering Committee; Board audiences; Customer leadership
Communication Scope
Executive engagement; Business outcomes
Process & Methodology
Roadmap planning
Full Job Description
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 fo
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