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Specialisms - AI Engineering - Enterprise
Enterprises are moving AI from pilots to production. Re:Sourced recruits the engineers who can ship AI inside large, regulated organisations, where integration, governance and stakeholder reality matter as much as the model.
The profile
The work is AI under constraint: LLM and automation features over internal data, retrieval across sprawling enterprise knowledge, integration with legacy systems that were never built for it, and the governance, security review and data-residency requirements that decide whether a pilot ever reaches production.
The differentiator is shipping AI through enterprise reality, security and procurement, change management with non-technical stakeholders, not greenfield freedom. Engineers who have taken AI into production inside a bank, insurer or telco are scarce. Typical stack: Python, Azure or AWS AI services, and enterprise data platforms.
Where they come from
The pools sit inside the big-four banks, the telcos, the large insurers, the systems integrators (Fujitsu, Datacom) and the consultancies running enterprise AI programs. The useful profile blends applied ML with the patience and stakeholder skill to ship inside a large organisation.
Senior AI/ML engineers in Sydney price at AUD 180-220k base, base only, 25th-75th percentile of accepted offers. Full bands in the Salary Guide 2026.
Common questions
They move AI from pilots to production inside large, regulated organisations, where integration, governance and stakeholder management matter as much as the model itself.
Senior enterprise AI engineers in Australia run AUD 180-220k base, base only, 25th to 75th percentile of accepted offers.
The work rewards engineers who can ship inside legacy estates and satisfy security, procurement and governance reviews, not just build models. That production-and-stakeholder capability is the scarce part.
Start a hiring campaign
30 minute working session. No fee until placement. Replacement inside 90 days.