Lead Engineer/Engineer, Adversarial AI, xCyber

Strengthen the security of AI models and systems by detecting, mitigating, and preventing adversarial attacks through proactive defence (Blue Team) and rigorous offensive testing (Red Team). Simulate and counter Adversarial AI Threats by conducting red/purple teaming to identify vulnerabilities, while implementing robust countermeasures to safeguard AI-driven applications. Advance AI security research by developing AI security techniques, collaborating with cross-functional teams, and contributing to the security frameworks that protect AI systems from evolving threats.

• Assess, develop and provide guidance on security measures to reinforce the security of AI models. • Develop AI-specific playbooks for responding adversarial AI threats. • Simulate red team attacks to uncover vulnerabilities in AI models. • Generate adversarial examples to test and improve model robustness. • Evaluate tools, build and automate adversarial simulation workflows. • Work with application teams, data scientists and security teams to integrate AI security measures. • Develop and share security frameworks and best practices for AI security governance. • Research emerging adversarial AI threats and defence strategies.

• Minimally a bachelor’s degree in computer science, Information Technology or related Engineering fields; or proven work experience and skillsets. • Minimum 2 years in relevant field. • Fresh graduates with relevant research and studies may be considered. • Cyber Security professional qualifications such as CISSP or offensive security certification is preferred. • Ability to multi-task whilst working under extreme pressure with tight deadlines. • Meticulous in planning. • Able to work independently and as a team. • Able to cope with a reasonably high level of stress. • Demonstrate resiliency, drive and level headedness. • Good interpersonal and communications skills for internal/external stakeholder engagement. All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All shortlisted applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement. #LI-JW1