Talent International, a leading Australian recruitment firm, have been engaged by our long‐standing client, an Australian‐founded leader in data science and advanced analytics, to hire a Security Engineer – AI & ML Security.
This organisation is investing heavily in AI and building a practical, engineering‐led AI security capability to support secure, large‐scale adoption.
Role Details
Role Title: Security Engineer – AI & ML Security
Contract Length: Initial 12 month contract (highly likely to extend or convert to permanent)
Location: Eveleigh, Sydney (3 days in office – Tue‐Thurs)
Start Date: ASAP
Interview Process: 2-stage (technical + behavioural)
The Opportunity
This is a hands‐on security engineering role focused on securing real AI systems as they're being built and rolled out across the business.
You'll work closely with engineering and data teams to embed security into how things are developed and deployed – not sit on the sidelines writing policy.
Responsibilities
* Work with teams to secure AI and application use cases as they're designed and built
* Conduct threat modelling and identify practical risks across new features and systems
* Implement security controls and guardrails for AI tools (LLMs, internal platforms, ML pipelines)
* Embed security into CI/CD pipelines, cloud environments, and deployment workflows
* Contribute to the safe rollout of AI across the business
* Stay close to emerging risks and apply pragmatic, real‐world security solutions
Qualifications
We're looking for someone hands‐on and technical, not purely strategic.
* Strong security engineering foundation (AppSec, cloud security, or similar)
* Experience working in DevOps / DevSecOps environments
* Solid understanding of cloud platforms (AWS or GCP)
* Experience with CI/CD pipelines and secure deployment practices
* Comfortable doing threat modelling (STRIDE or similar approaches)
* Exposure to AI is a bonus – interest in learning is more important
Benefits
* Work on real AI systems, not theoretical security frameworks
* Strong focus on building and implementing, not just advising
* Be part of a major AI rollout across the business
* Access to modern tech stack and evolving AI tooling
* Strong engineering culture with close collaboration across teams
* Genuine work‐life balance (no expectation beyond ~5pm)
* Transparent pathway to a long‐term / permanent opportunity
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