Job Description
The Secure AI Engineer is responsible for the delivery of consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments.
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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.
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What You'll Do
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Support the delivery of secure AI and application security engagements for enterprise and government clients
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Contribute to reviews of AI-enabled applications, workflows, platforms, and integrations
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Assist in identifying risks across models, prompts, data flows, APIs, cloud services, and supporting systems
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Help define practical recommendations to improve security, governance, and delivery controls
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Build or configure technical controls, patterns, and supporting artefacts for secure AI implementations
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Produce clear, high-quality client deliverables, including technical products, findings, recommendations, implementation guidance, and supporting documentation
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Work with client stakeholders to understand their setting, priorities, and constraints
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Contribute to reusable templates,



reference patterns, and internal capability uplift across the Secure AI team
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Collaborate across CyberCX practices where engagements span cloud, identity, application security, data, or governance domains
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What You'll Bring
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Experience in software engineering, ML engineering, data science, cloud engineering, security engineering, or technical consulting
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Experience building, reviewing, or supporting modern applications or cloud-based systems
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Familiarity with secure development practices and common security concepts across AI, applications, infrastructure, and integrations
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Ability to investigate technical issues, structure findings, and communicate clearly
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Exposure to AI, ML, Generative AI, Agentic AI, or AI-assisted development use cases
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Experience with AWS, Azure, or Google Cloud
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Familiarity with application security review, threat modelling, IAM, API security, or workload security
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Exposure to CI/CD, infrastructure as code, containerised workloads, or Kubernetes
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Awareness of common security or risk frameworks such as NIST, ISO *****, CIS, MAESTRO, or similar
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📌 Secure Ai Engineer (Specialist) (Canberra)
🏢 CyberCX
📍 Canberra