About the Role The Secure AI Engineer is responsible for the delivery of consulting and engineering services across Secure AI, AI-enabled applications, and up-to-date 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 up-to-date 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 Melbourne
🏢 CyberCX
📍 Melbourne