About the Role 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 workplace, 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
- 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

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 (Specialist) (Brisbane)
🏢 CyberCX
📍 Brisbane