Secure AI Engineer - Hybrid: Cloud & Security

CyberCX; Western Australia; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hybrid working – balance home

Retail & lifestyle discounts

Career development in cyber community

Impactful consulting across industries

Job summary

CyberCX is seeking a Secure AI Engineer to deliver consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients, teammates, and other practices to contribute to design reviews, implementation support, and governance improvements.

Applicants should bring experience in software/ML/data/cloud security, strong communication skills, and a practical, team-oriented approach.

Qualifications

• Experience in software engineering, ML engineering, data science, cloud engineering, security engineering, or technical consulting.
• Experience building or supporting modern applications or cloud-based systems.
• Familiarity with secure development practices and security concepts across AI, applications, infrastructure, and integrations.
• Ability to investigate technical issues, structure findings, and communicate clearly.

Responsibilities

• 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 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.

Skills

Software engineering

ML engineering

Data science

Cloud engineering

Security engineering

Technical consulting

Communication

Tools

AWS

Azure

Google Cloud

CI/CD

Kubernetes

IAM

API security

Job description

CyberCX is seeking a Secure AI Engineer to deliver consulting and engineering services across Secure AI, AI-enabled applications, and modern cloud environments. You will work with clients, teammates, and other practices to contribute to design reviews, implementation support, and governance improvements.

Applicants should bring experience in software/ML/data/cloud security, strong communication skills, and a practical, team-oriented approach.