_{04th June, 2026}

We are seeking a Secure AI Engineer to support the delivery of hands-on consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments.

About the Role

This role is suited to someone who enjoys solving practical technical problems, working closely with clients and teammates, and building secure, usable outcomes. 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.
 
You will work alongside experienced consultants, architects, and engineers across the Secure AI practice, with the opportunity to deepen your skills across AI development, security, cloud platforms, application security, and secure-by-design delivery.

If this role sounds like a good fit for your experience and interests, we encourage you to apply, even if you do not meet every item listed below.

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

We are open to candidates who bring a strong foundation from software engineering, ML/AI engineering, data science, cloud engineering, security engineering, or a related technical field.

Core Experience:

• Around 2+ years of 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

  
Helpful Experience:

• 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

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