Senior Information AI Security Engineer

Whats the Role:

This role focuses on enabling the secure adoption of AI machine learning and generative AI capabilities by designing and implementing scalable security controls across the full AI lifecycle while supporting the development of secure AI platform architectures and applications. It involves embedding guardrails to manage risks such as data leakage and model vulnerabilities and creating standards runbooks and reference patterns to help engineering teams deliver secure AI solutions combining expertise across security engineering software development cloud platforms and automation to ensure robust and compliant AI systems.

Key Responsibilities:

• Provide SME security consultancy to guide product platform and engineering teams in delivering secure AI solutions aligned to enterprise security strategy and risk appetite.
• Design and implement secure MLOps/LLMOps patterns including model onboarding CI/CD controls environment segregation secrets management and least-privilege access.
• Establish and embed guardrails for responsible AI covering data protection PII handling content filtering monitoring governance and auditability.
• Partner with development and product teams to identify security risks capture requirements and provide practical remediation guidance.
• Develop and maintain security processes tooling and reference materials such as patterns playbooks and templates to support consistent adoption.
• Collaborate with operational and incident response teams to improve detection response and resilience for AI-related threats across platforms and applications.

What do I need

• Hands-on experience in security engineering across application cloud platform or DevSecOps environments with delivery of security controls in complex enterprise settings.
• Experience securing AI/ML or GenAI systems including threat modelling and understanding of risks such as prompt injection data leakage model extraction/inversion poisoning and supply chain vulnerabilities.
• Relevant security certifications (e.g. CISSP CCSP GIAC) or equivalent demonstrated capability.
• Strong understanding of secure MLOps/LLMOps practices including CI/CD model registries artifact integrity policy-as-code and environment controls.
• Experience with cloud and container security LLM application architectures (RAG vector databases prompt orchestration) and data security controls such as encryption key management and data protection.
• Ability to perform incident analysis troubleshooting and root cause analysis including support for AI-related security events along with strong communication and stakeholder engagement skills.

Why join us

Were obsessed with becoming our customers #1 banking partner for life and were looking for people who are passionate about helping us achieve that return were committed to making Westpac the best place to work in the country. Here are just a few of the ways were already doing that:

• Special offers on banking products and discounts from top brands including generous employee only mortgage rates!
• Flexible work arrangements to help you achieve a greater work/life balance and a variety of leave options including Culture Lifestyle and Wellbeing leave.
• Tailored learning and development opportunities to help your grow your career within the bank.
• Lots of opportunities to give back to the Community by getting involved in our many volunteering initiatives.
  

Create your future today

To get started simply click on the APPLY or APPLY NOW button

Were all about creating a supportive and inclusive community. We welcome everyone no matter your age gender background or abilities. We also provide additional support to welcome our veterans Indigenous Australians and neurodiverse community.

If you need any adjustments during the recruitment process you can find out more information and additional contact details by visiting thePeople with Disability and/or needing Accessibility Requirementspage on ourwebsite.