The Secure AI Engineer is responsible for the delivery of consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments.

Working closely with clients, teammates, and other practices you will contribute to a range of engagements across design review, implementation support, control uplift, and technical assessment, helping organisations adopt AI in a secure and responsible way.

What You'll Do

- Support the delivery of secure AI and application security engagements for enterprise and government clients
- Contribute to reviews of AI-enabled applications, workflows, platforms, and integrations
- Assist in identifying risks across models, prompts, data flows, APIs, cloud services, and supporting systems
- Help define practical recommendations to improve security, governance, and delivery controls
- Build or configure technical controls, patterns, and supporting artefacts for secure AI implementations
- Produce clear, high-quality client deliverables, including technical products, findings, recommendations, implementation guidance, and supporting documentation
- Work with client stakeholders to understand their environment, priorities, and constraints
- Contribute to reusable templates, reference patterns, and internal capability uplift across the Secure AI team
- Collaborate across CyberCX practices where engagements span cloud, identity, application security, data, or governance domains

What You'll Bring

- Experience in software engineering, ML engineering, data science,



cloud engineering, security engineering, or technical consulting
- Experience building, reviewing, or supporting modern applications or cloud-based systems
- Familiarity with secure development practices and common security concepts across AI, applications, infrastructure, and integrations
- Ability to investigate technical issues, structure findings, and communicate clearly
- Strong written and verbal communication skills
- A practical, team-oriented approach to solving problems and delivering outcomes
- Exposure to AI, ML, Generative AI, Agentic AI, or AI-assisted development use cases
- Experience with AWS, Azure, or Google Cloud
- Familiarity with application security review, threat modelling, IAM, API security, or workload security
- Exposure to CI/CD, infrastructure as code, containerised workloads, or Kubernetes
- Awareness of common security or risk frameworks such as NIST, ISO 27001, CIS, MAESTRO, or similar

Why CyberCX

- Versatile hybrid working – balance your time between home and office.
- Retail & lifestyle discounts through our corporate partners.
- Unmatched career development within Australia and New Zealand’s largest cyber community.
- Impactful consulting work across diverse industries, helping clients strengthen their security posture in a rapidly evolving cyber landscape.

We kindly request no agency submissions for this role. Unsolicited CV’s will not be accepted, and no fees will be payable.

📌 Secure AI Engineer (Senior Analyst) (Perth)
🏢 CyberCX
📍 Perth