Lead AI Security Engineer

About Quantium

Quantium is a global leader in data science and artificial intelligence, founded in Australia in 2002. Boasting a team of over 1,200 professionals spanning 14 locations, the company combines product expertise with consulting services to help major corporations harness value from data and analytics, working towards a smarter world.

Role Overview

As the Lead AI Security Engineer at Quantium, you will be responsible for steering the secure development, deployment, and operation of AI and data science solutions. This senior, hands-on leadership position demands a blend of profound expertise in modern AI and machine learning systems with security engineering practices. You will influence security standards and mentor teams across the organization to ensure safe and rapid incorporation of new AI technologies.

Core Responsibilities

• Establish and maintain the security strategy, frameworks, and standards covering the AI and ML lifecycle, addressing vulnerabilities such as prompt injection, data poisoning, model theft, and adversarial inputs.
• Provide guidance and mentorship to engineers and data scientists on secure AI methodologies, fostering security skills throughout the technical community.
• Conduct threat modeling for AI products, foundation models, agentic systems, and multi-cloud platform integrations, converting complex risks into clear and feasible mitigations.
• Collaborate closely with data science, engineering, application security, and security architecture teams to embed security into platforms, pipelines, and workflows.
• Assess emerging AI tools, technologies, and SaaS platforms, advising leadership on security implications and influencing the overarching security roadmap.
• Monitor and respond to evolving AI threats, contribute to policy and governance development, and lead incident response related to AI and ML systems.

Required Expertise

• Extensive hands-on experience in security engineering within AI, machine learning, application security, or cloud-native environments, with a proven history of leading sophisticated technical initiatives.
• Strong comprehension of modern AI architectures including generative AI, foundation models, agentic frameworks, and the machine learning lifecycle.
• Demonstrated ability to identify and mitigate AI-specific vulnerabilities such as prompt injection, data leakage, model manipulation, poisoning, and adversarial attacks.
• Proficient in advanced threat modeling, translating ambiguous security threats into practical technical controls and establishing methodologies for others.
• Leadership ability in mentoring engineers and effectively collaborating with senior stakeholders across engineering, data science, and security domains.
• Excellent judgment, curiosity, and communication skills, capable of evaluating emerging technologies and conveying insights to both technical and non-technical audiences.

Work Environment and Benefits

• Flexible working arrangements including hybrid and remote options to support work-life harmony.
• Continuous professional development through a vibrant Analytics Community that promotes collaboration, thought leadership, and technical excellence.
• Opportunities to work remotely from locations other than your assigned home base for up to 30 days annually.
• A company culture that encourages innovation, diversity, and making a significant impact regardless of position or seniority.

Additional Information

Quantium collects and uses candidate personal data as part of its recruitment process, including potential disclosure to Woolworths Group Limited, its majority shareholder, following their Candidate Data Collection Notice.