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/ For hiring teams

Hire a senior AI engineer for agentic systems and platforms

I build the shared foundations that let engineering teams move AI from prototype to production — governed platforms, grounded assistants, secure model serving, evaluation and developer enablement.

  • 7+ years
  • Energy / mining / SaaS
  • Built the Dev Harness
  • 500GB+ enterprise RAG pipeline
  • Secure model serving across 100+ AWS accounts
Target level
Senior / Staff AI Engineer
Based in
Perth, Australia
Work rights
Australian citizen
Experience
7+ years across energy, mining and SaaS
Availability
Full-time roles, remote-friendly; also contract
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/ Fit

Roles that fit

  • Senior or Staff AI Engineer
  • AI / agent platform engineering
  • AI developer enablement and platform teams
  • GenAI production and LLMOps ownership

How I work

  • Remote-friendly, based in Perth, Australia
  • Comfortable inside large enterprise delivery
  • Platform mindset: templates, standards, ADRs
  • Evaluation and observability before scale

/ Evidence

01

Internal platform · Paved path

Dev Harness for Enterprise AI Delivery

Artifact
Reusable AI application templates and reference implementations
Artifact
Deployment automation and CI/CD pipelines for AI services
Artifact
MCP and tool-integration patterns with security guardrails
02

Retrieval architecture · ReAct agents

Enterprise RAG & Agent Platform

Measured
Measured chatbot accuracy improved to 95%
Measured
Response latency reduced
Artifact
500GB+ enterprise embedding and ingestion pipeline
03

ML platform · 100+ AWS accounts

Secure Multi-account Model Serving

Artifact
Secure ML and model-serving platform spanning 100+ AWS accounts
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Automated model packaging pipelines for open-source HuggingFace models
Artifact
GPU-backed inference on Amazon SageMaker
04

Grounded assistant · Procurement

Enterprise Procurement Knowledge Assistant

Measured
Reduced inbound procurement support queries by 60%
Artifact
Production Procurement assistant on Azure AI Foundry, LangGraph, ChatKit, PGVector and MCP server integrations
Artifact
Reusable reference implementation standardised from the assistant architecture
05

Operating model · Platform standards

Enterprise AI Governance & Platform Strategy

Artifact
SCIM provisioning and RBAC model tying AI access to the enterprise identity lifecycle
Artifact
ServiceNow approval workflow for AI capability access
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Usage controls and licensing / cost governance

/ Leadership and leverage

  • Led a team of five platform developers.
  • Authored ADRs, reference patterns and platform standards.
  • Delivered executive briefings and technical workshops on enterprise generative AI.
  • Built an internal consultancy model adopted by 8+ business units.
  • Standardised security, observability and cloud-native patterns across multiple applications and engineering squads.

/ Depth

/ Next step

Let's talk about the work.

Open to full-time Senior–Staff AI / agent platform roles (remote-friendly), as well as contract and consulting engagements. Response within two business days.

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