The taxonomy is the product
Australian AI hiring runs on conflated job titles. Our five practices exist because these are genuinely different careers — different skills, different assessment, different prices. Each practice page is our working taxonomy, published: what the roles actually are, how we assess them, and what they cost in this market.
Applied AI & LLM Engineering
Engineers who ship LLM-backed systems to production — retrieval, agents, evals, fine-tuning — not research for its own sake.
A$160k – A$280k packageML Platform & Infrastructure
The engineers who make everyone else’s models real: training and inference infrastructure, MLOps, GPU economics, AI security.
A$170k – A$300k packageData & Applied Science
Data scientists, applied scientists and research engineers who turn data into decisions and models into measurable outcomes.
A$150k – A$260k packageAI Product & Delivery
Product managers, solutions architects and delivery leads who can scope what models can actually do — and ship it.
A$170k – A$280k packageAI Governance & Leadership
Heads of AI, responsible-AI and AI-risk leaders — the roles a regulated market now requires and almost nobody can find.
A$180k – A$400k package