Description
The work we do matters
CyberCX, part of Accenture, protects and defends our customers and communities by providing the most comprehensive range of cyber security professional services in the region.
With more than 1,400 team members across Australia, New Zealand, the UK and US, we are a leading force in cyber security, offering services from strategy, GRC, managed security services, cloud security, digital forensics and cyber education.
If you’re ready to work with teammates who get you, leaders who support you, and customers who need you, then you’re ready for CyberCX.
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 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 clear, 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 domains
What You'll Bring
Experience 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 clearlyStrong written and verbal communication skillsA practical, team-oriented approach to solving problems and delivering outcomesExposure 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 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.
