_{17th August, 2026}

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

• Flexible 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.

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