The AI engineering desk
The highest-volume seats in every AI team build. We run screened pools of senior GenAI engineers and architects across both cloud stacks, permanent and contract, with a shortlist in 48 hours.
Market observation from live AU postings, July 2026.
The spec that fills
Across 251 live Australian AI engineer and architect postings, the same profile keeps repeating (market observation from live AU postings, July 2026). It is the stable, sellable senior spec, and it is what we screen every candidate against before they reach a shortlist:
One warning for buyers: junior demand barely exists. Only 13 of those 251 live ads accept zero to two years of experience. If the budget assumes a junior GenAI hire, the market is telling you to budget for a senior instead.
The demand shape is permanent. Roughly 85% of live AU engineering ads are perm roles (market observation, July 2026), and the lead engineer seat in particular belongs in-house, because the shipped wins and the intellectual property need to stay with you. Contract is a narrow, specific lane: architects and build-sprint platform work, not the core engineering team.
Know which pool you are buying from
Australian GenAI engineering is not one market. It is two, and they are different people serving different buyers.
Python and TypeScript engineers building production LLM back ends: LangChain and LangGraph, Amazon Bedrock, SageMaker, RAG pipelines and agentic systems. The buyers are product companies and consultancies shipping customer-facing AI.
Microsoft-stack engineers rolling AI into the enterprise: Copilot Studio, Azure AI Foundry, Power Platform and M365 integration. The buyers are corporates and consulting partners driving workplace productivity.
Brief us on the stack, not just the title. The cloud tag decides which pool we search and which candidates you meet.
Architects and pay
AI Solutions and Enterprise Architects are the contract-first seat in most Australian team builds. Architecture work is front-loaded: reference architectures, integration and security patterns land in the first months, then the load drops. Contract architects benchmark at $1,455 per day at senior level and $2,000 at principal (median day rates, Sydney, large company, Galileo salary dataset, July 2026); disclosed postings in the July 2026 scrape ran $1,400 to $2,000+ at senior level. Permanent conversion usually follows once the build stabilises. If the leadership seat is still open, start with Head of AI recruitment and let the leader shape the team.
Benchmark this seat
Median total package, senior level, large company. Galileo P1 salary dataset, July 2026.
77 roles · 6 cities · 7 company types · free, no sign-up
| Level | Salary band (AUD) | Contract day rate |
|---|---|---|
| Mid-level AI engineer | $130k to $160k (dataset median $140k) | Perm-first seat |
| Senior AI / GenAI engineer | $150k to $200k (dataset median $170k) | Perm-first seat |
| Lead / staff engineer | $200k to $270k | Perm-first seat |
| AI Solutions Architect | $165k to $200k | $1,455 to $2,000 |
Salary bands are base salary excl. super, market observation from live AU postings, July 2026; dataset medians are the Galileo salary dataset, Sydney, large company, at the same level. AI Solutions Architect top of market runs to $235k base; its day rates are senior-to-principal contract medians from the same dataset. Full bands by role and city in the Australian AI salary guide.
We screen both pools against the senior spec before you ever brief us: production code, a shipped LLM application, framework depth, cloud depth, CI/CD. When a role lands, we shortlist from the screened bench within 48 hours instead of starting a search from zero. Candidates: if you are a senior AI engineer or architect on either stack, join the bench or browse live AI roles.
Market observation from live AU postings, July 2026.
Hiring AI engineers in Australia
Yes, in most cases hire the leader first. 70% of the AI challenge is people and process rather than technology (source: BCG 10-20-70 rule, via Galileo evidence review 2026), so engineers hired before anyone owns strategy tend to build pilots that stall: 95% of GenAI pilots show no P&L impact (source: MIT NANDA, The GenAI Divide 2025, via Fortune, https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/). The exception is a company with one narrow, well-defined AI use case, which can start with a senior engineer or architect.
As of mid-2026 LinkedIn lists around 195 Head of Artificial Intelligence roles in Australia (source: https://au.linkedin.com/jobs/head-of-artificial-intelligence-jobs, checked 2026-07-06; counts change daily). Galileo's own scrape of Sydney and Melbourne postings found Head of AI/GM AI mandates in the low twenties, versus 111 live AI Engineer postings (source: Galileo internal demand scrape, May 2026, refreshed monthly). Leadership demand is real but thin, which is exactly why most searches come down to approaching people who are not looking.
Contract (or fractional) suits three situations: you need momentum while a permanent search runs, you want the strategy and first roadmap built before committing to a permanent leadership package (a Head of AI benchmarks at a $291,000 median total package including super at large Sydney companies, principal level, Galileo salary dataset, July 2026), or the mandate is genuinely 6 to 12 months of setup. Permanent is right once the mandate is enduring: owning the roadmap, the team and a number. Many Australian companies sequence both: a contract AI leader stands up the function, then helps hire their permanent successor. Galileo Search runs both contract and permanent searches.
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Tell us the stack and the seat. Screened shortlist inside 48 hours, permanent or contract.