Senior AI Security Architect

Quantium; Sydney; Hybrid; AUD 170,000 - 230,000; Full time

Benefits offered by this job

Flexible work arrangements

Continuous learning

Remote working up to 30 days per year

Job summary

Quantium is seeking a Lead AI Security Engineer to own how AI and data science solutions are developed, deployed and operated securely. You will set technical direction and standards shaping security practice across the organisation, while guiding teams and mentoring engineers.

This senior, hands-on leadership role requires deep expertise in AI security, risk management and secure ML lifecycles, with the ability to influence across engineering, data science and security teams.

Qualifications

• Extensive hands-on security engineering experience across AI, machine learning, application security or cloud-native environments.
• Strong understanding of modern AI systems including generative AI, foundation models, agentic architectures.
• Proven experience identifying and mitigating AI-specific risks such as prompt injection, data leakage, model manipulation.
• Experience mentoring engineers and data scientists, and influencing senior stakeholders across engineering, data science and security.

Responsibilities

• Define and own the security strategy, frameworks and standards across the AI/ML lifecycle.
• Lead threat modelling of AI products, foundation models and integrations, translating risks into mitigations.
• Mentor engineers and data scientists on secure AI practices.
• Partner with data science, engineering and security teams to embed security into platforms and workflows.
• Evaluate emerging AI tools and technologies and advise on adoption.
• Monitor evolving AI threats and lead incident responses involving AI systems.

Skills

Security engineering

AI systems mastery

Risk management

Threat modelling

Leadership

Communication

Job description

Quantium is seeking a Lead AI Security Engineer to own how AI and data science solutions are developed, deployed and operated securely. You will set technical direction and standards shaping security practice across the organisation, while guiding teams and mentoring engineers.

This senior, hands-on leadership role requires deep expertise in AI security, risk management and secure ML lifecycles, with the ability to influence across engineering, data science and security teams.