- Contract Length:12‑month initial contract, with further 12‑month extensions available
- Security Clearance: Must be an Australian Citizen and hold a minimum NV1 security clearance
- Location: Canberra, ACT based role with on-site requirement
Are you passionate about securing the future of AI within complex enterprise environments? We are seeking an experienced Artificial Intelligence Cyber Security Engineer to lead the development and implementation of AI security controls, governance frameworks, and risk management practices.
This is an exciting opportunity to help shape the secure and responsible adoption of AI technologies within a large-scale, security-focused environment. You will work at the intersection of AI, cyber security, compliance, and data protection, ensuring emerging technologies are deployed safely, ethically, and in alignment with regulatory and organisational requirements.
What You Will Do
- As a trusted AI Cyber Security engineer, you will play a key role in enabling secure AI adoption while protecting critical information assets and mitigating emerging cyber risks.
- You will help define AI governance strategies, implement security controls, assess AI-related risks, and advise stakeholders on responsible AI deployment. Working closely with security teams, architects, technology leaders, and policy stakeholders, you will bridge the gap between innovation and security.
Your Responsibilities
- Lead the development, implementation, and continuous improvement of AI governance frameworks.
- Design and implement AI security control frameworks aligned with cyber security, privacy, risk, and compliance requirements.
- Develop policies, standards, and procedures governing the use of AI technologies.
- Assess AI solutions against security, privacy, ethical, and legislative requirements.
- Establish governance processes supporting accountability, transparency, monitoring, and assurance for AI systems.
- Conduct research and horizon scanning to identify emerging AI trends, threats, and opportunities.
AI Risk Management
- Perform AI risk assessments and recommend appropriate risk mitigation strategies.
- Evaluate AI use cases and provide guidance on secure and responsible deployment practices.
- Monitor emerging AI threats, including:
- Data leakage
- Prompt injection attacks
- Model manipulation
- Unauthorised AI usage
- Information exposure risks
- Support the integration of AI-related risks into broader enterprise cyber security risk frameworks.
Microsoft Security & AI Data Protection - Design, implement, document, and maintain AI-related security controls within Microsoft 365 and associated platforms.
- Configure and manage:
- Microsoft Purview Data Security Posture Management (DSPM) for AI
- Microsoft Purview Data Loss Prevention (DLP)
- Sensitivity Labels
- Information Protection
- Insider Risk Management
- Communication Compliance
- Microsoft Defender for Cloud Apps
- Microsoft Copilot governance and data access controls
- Collaborate with technical and business teams to ensure secure adoption of AI-enabled technologies.
Stakeholder Engagement & Advisory
- Partner with technical teams, architects, governance functions, and senior stakeholders.
- Translate complex AI and cyber security concepts into practical and actionable business outcomes.
- Provide expert advice on AI governance, security, compliance, and risk management matters.
You Should Have
- Proven experience in AI governance, technology risk, cyber security governance, or information security.
- Strong experience implementing cyber security and compliance controls within Microsoft 365 environments.
- Hands-on experience with:
- Microsoft Purview
- Data Loss Prevention (DLP)
- Information Protection
- Data governance and security controls
- Deep understanding of:
- AI governance frameworks
- Responsible AI principles
- Privacy and data protection requirements
- Risk management methodologies
- Cyber security control frameworks
- Experience identifying and managing AI-related risks within enterprise environments.
- Strong stakeholder engagement and communication skills with the ability to influence both technical and non-technical audiences.
- Knowledge of cloud platforms, AI technologies, and secure data handling practices.
- Familiarity with security and governance frameworks such as:
- PSPF
- ISM
- Essential Eight
- NIST
Nice to Have
- Experience working within government, regulated, or critical infrastructure environments.
- Experience with:
- Microsoft Fabric
- Azure AI Foundry
- Power Platform
- Copilot Studio
- Exposure to cloud-based AI and data platforms, including AWS and third-party generative AI solutions.
- Knowledge of Large Language Models (LLMs) and emerging AI security challenges.
- Understanding of automation, low-code/no-code platforms, and enterprise AI adoption.
- Relevant industry certifications such as:
- CISM
- SC-100
- SC-401
- SC-500
- MS-102
- Equivalent security, cloud, or governance certifications
- Postgraduate qualifications in Cyber Security, Information Security, AI, Data Governance, or a related discipline.