Qualifications

Essential

• A minimum of 3 years’ experience in AI security, with demonstrable expertise in serving as the subject matter expert for AI security and governance controls.
• A minimum of 4-years of progressive experience in cybersecurity, with a strong security engineering or cloud security foundation.
• Demonstrable interest in or exposure to AI/ML security, LLM security, or the security of intelligent systems.
• Hands-on experience securing enterprise SaaS platforms, with experience or strong interest in AI-powered productivity tools or LLM deployments.
• Prior involvement in AI security assessments, AI governance programmes, or vendor security evaluations for AI platforms.
• Cloud and platform security: proficiency in cloud security across Microsoft Azure, including cloud-native security controls, CSPM tooling, and secure API gateway configuration, with familiarity in API security principles for hardening integrations between enterprise systems and third-party AI providers.
• Understanding of enterprise identity and access management (IAM), including zero-trust architectures, role-based access control (RBAC), and privileged access management (PAM).
• Familiarity with AI-specific threat scenarios such as prompt injection, data exfiltration via model outputs, training data poisoning, and adversarial inputs.
• Data classification and handling: experience with data classification frameworks and the application of data handling policies within AI tools to prevent sensitive information from being exposed or retained inappropriately.
• Bachelor's degree in Computer Science, Information Security, Cybersecurity, Engineering, or a closely related technical discipline. Equivalent professional experience will be considered.
• A relevant professional certification in cybersecurity, such as one of: CISSP, CISM, CCSP, CEH, OSCP, AZ-500, or an equivalent qualification appropriate to the candidate's experience level. Candidates actively working towards certification will also be considered.

Desirable

• Experience working within professional services, financial services, consulting, or similarly regulated industries.
• Experience contributing to enterprise security assurance programmes or red team exercises, including in AI/ML contexts.
• Regulatory and standards knowledge: familiarity with relevant regulatory frameworks and standards including ISO 42001, ISO 27001, SOC 2, GDPR, NIST AI RMF, and the EU AI Act as they pertain to enterprise AI deployments.
• Scripting and automation: scripting or programming skills (Python, PowerShell, or similar) sufficient to automate security workflows, write detection rules, and analyse telemetry from AI platform usage.
• Security monitoring tooling: working knowledge of SIEM platforms, DLP solutions, CASB tooling, and endpoint detection technologies as they relate to AI usage monitoring.
• Secure development practices: knowledge of Secure Software Development Lifecycle (S-SDLC) principles and IDE security controls, including the assessment of AI-powered coding assistants and their potential to introduce risk into software development workflows.
• Postgraduate degree (MSc or equivalent) in Cybersecurity, AI, Data Science, or a related field.
• Certification or demonstrated expertise in AI or machine learning security, such as those offered by GIAC (e.g. GAISC), or completion of recognised AI security training programmes from MITRE, NIST, or equivalent bodies.
• Certification in cloud security, such as Microsoft Certified: Azure Security Engineer Associate (AZ-500) or Microsoft Cybersecurity Architect Expert (SC-100).
• Completion of enterprise AI administrator or security training from one or more major AI platform vendors (such as Microsoft, Google, Anthropic, or OpenAI) or equivalent vendor-accredited security education.

Personal Competencies

The successful candidate will be a technically curious, pragmatic security professional who is comfortable building frameworks and controls in a nascent, ambiguous discipline; who communicates and collaborates confidently across all levels of the organisation; who upholds the highest standards of integrity, discretion, and ethical AI practice; and who brings the resilience, organisation, attention to detail, and proactive ownership needed to manage multiple concurrent priorities in a fast-moving global environment.

Your journey at A&M

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.

We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.