Recruitment
AI Engineer Hiring in Australia: Why Platform Maturity Has to Come Before Headcount
You approved the AI Engineer role three months ago. Strong hire. Production ML background, enterprise experience, interviewed well. They’ve spent every week since then cleaning data, chasing pipeline owners, and attending governance meetings that should have existed before they joined. The AI roadmap they were hired to drive hasn’t started. This isn’t a bad hire. It’s a misdiagnosis. You didn’t have an AI capability…
Read MoreThe Technology Market Contracted in FY26. Senior Hiring Did Not.
You approved the headcount. The brief went to the desk. And the feedback is not what you expected for a market that supposedly softened. The candidates you need are not available at the rate you budgeted. The search is taking longer. And the right person has two other conversations running alongside yours. Nothing unusual happened.…
Read MoreRisk Management Roles Are Hard to Fill in 2026. Your Brief Is Why.
Your risk role has been live for three months. The applications are there. The shortlist isn’t. You’re calling it a talent shortage. It isn’t. The brief is describing a risk function that no longer exists. And the candidates doing the actual work in 2026 can see that before they finish reading the first paragraph. The…
Read MoreYour EOFY Hiring Decisions Look Disciplined. The Market Will Treat Them as Withdrawals.
The spreadsheet makes it feel responsible. Freeze a role. Defer the hire. Revisit in July when budgets reset. On paper, nothing is lost. In the market, everything is. There were 337,900 job vacancies recorded in February 2026, up 2.7 per cent on the quarter (ABS, 2026). The candidates you’re deferring decisions on aren’t waiting. They’re…
Read MoreData Leader Underperforming at 6 Months: Is It the Hire or the Structure?
Data Leader Underperforming at 6 Months: Is It the Hire or the Structure? You got the hiring order right. You redesigned the role. Six months in, it’s still not moving. Your CEO is asking questions. The board wants AI outcomes. The team is starting to disengage. And you are quietly wondering if you got it…
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