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 DoSupport the delivery of secure AI and application security engagements for enterprise and government clientsContribute to reviews of AI-enabled applications, workflows, platforms, and integrationsAssist in identifying risks across models, prompts, data flows, APIs, cloud services, and supporting systemsHelp define practical recommendations to improve security, governance, and delivery controlsBuild or configure technical controls, patterns, and supporting artefacts for secure AI implementationsProduce transparent, high-quality client deliverables, including technical products, findings, recommendations, implementation guidance, and supporting documentationWork with client stakeholders to understand their environment, priorities, and constraintsContribute to reusable templates,



reference patterns, and internal capability uplift across the Secure AI teamCollaborate across CyberCX practices where engagements span cloud, identity, application security, data, or governance domainsWhat You'll BringExperience in software engineering, ML engineering, data science, cloud engineering, security engineering, or technical consultingExperience building, reviewing, or supporting modern applications or cloud-based systemsFamiliarity with secure development practices and common security concepts across AI, applications, infrastructure, and integrationsAbility to investigate technical issues, structure findings, and communicate clearlyExposure to AI, ML, Generative AI, Agentic AI, or AI-assisted development use casesExperience with AWS, Azure, or Google CloudFamiliarity with application security review, threat modelling, IAM, API security, or workload securityExposure to CI/CD, infrastructure as code, containerised workloads, or KubernetesAwareness of common security or risk frameworks such as NIST, ISO *****, CIS, MAESTRO, or similar
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📌 Secure Ai Engineer (Specialist) (New South Wales)
🏢 CyberCX
📍 New South Wales