Specialisation — Leadership

AI / ML Leadership

Senior engineers and leaders who can turn AI strategy into delivery — Staff, Principal, Head of AI/ML and Enterprise AI Architecture.

The Role

What Leadership Engineers Do

For Staff, Principal, Lead, Head of AI/ML and Enterprise AI Architecture roles, the hiring bar is different. These candidates need technical judgement, stakeholder influence and enough hands-on depth to guide teams through real delivery constraints. We look for leaders who can translate business goals into technical design, guide engineering teams and still challenge the details when required.

Roles We Place
Head of AI
Head of ML
Director of AI / ML
Principal AI Engineer
Staff AI Engineer
Principal ML Engineer
Staff ML Engineer
Enterprise AI Architect
Founding AI Engineer
VP Engineering (AI)
Technical Skills

Technologies We Screen For

We technically vet every Leadership candidate against these core skills.

AI strategy Technical leadership Architecture Stakeholder management Hiring and team scaling Roadmap and prioritisation Production AI delivery Cross-functional comms Governance and risk Vendor and platform decisions
Market Insight

What the Market Looks Like

AI and ML leadership hires are among the highest-stakes searches in tech right now. The shortlist is small, candidates are usually employed and selectively open, and a wrong hire can stall an AI programme for a year. We approach these as retained or critical search engagements — slower, more targeted, more confidential. Hands-on depth matters; leaders who lost touch with the work struggle to guide AI delivery.

FAQ

Common Questions About Hiring AI / ML Leadership

When should we hire a Head of AI vs an Enterprise AI Architect?
A Head of AI usually owns people, roadmap and delivery for a product or function — best when you have an AI team to build and scale. An Enterprise AI Architect owns patterns, platforms, governance and how AI integrates across the organisation — best for larger orgs running multiple AI initiatives. Many companies need both eventually, but rarely at the same time.
What is the difference between Staff, Principal and Lead AI Engineer?
Definitions vary by company, but in most Australian orgs Staff and Principal Engineers are senior individual contributors expected to drive technical direction across teams. Lead is usually a hybrid role — hands-on coding plus mentoring two to five engineers. We help calibrate the title to the actual scope before going to market.
How do you run a confidential leadership search?
For leadership hires we engage candidates by name and role context, not job ads. Outreach is targeted, conversations are confidential, and we do not share candidate names with anyone outside the search until permission is given. Clients get weekly progress visibility on the search plan and target market, without compromising candidate confidentiality.
What should we pay for AI / ML leadership in Australia?
Permanent ranges in Australia are wide and role-dependent. Lead and Staff AI/ML roles typically range $220K–$320K+ total. Principal and Head of AI/ML roles range $280K–$450K+ total, with equity meaningful in scaleups. Enterprise AI Architect roles in larger orgs sit $260K–$380K base. We can give you a calibrated read once we understand the brief.

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