AI Security Engineering Lead
We are seeking an AI Security Engineering Lead to define and deliver the security strategy for artificial intelligence and machine learning systems across the organisation. This role will lead the design of secure, resilient AI capabilities, ensuring that models, data, platforms, APIs and supporting infrastructure are protected throughout the development and deployment lifecycle. You will partner with engineering, data science, product, risk and compliance teams to embed security by design while enabling responsible and practical innovation.
Key responsibilities include establishing standards and controls for AI security; assessing threats such as prompt injection, data poisoning, model theft, adversarial attacks, insecure agents and sensitive data leakage; and developing solutions for identity, access management, secrets protection, isolation, monitoring and secure model operations. You will lead security reviews, architecture assessments, red-team exercises and vulnerability management for AI applications and platforms. The role will also involve creating automated testing and detection capabilities, defining incident response procedures for AI-related events, and maintaining clear documentation, metrics and risk reporting for senior stakeholders. You will act as a technical authority, mentor engineers and influence security practices across multiple delivery teams.
The successful candidate will have significant experience in security engineering, application security, cloud security or a closely related discipline, together with practical knowledge of machine learning systems, generative AI, large language models or AI-enabled products. You should be comfortable with cloud platforms, software development, infrastructure as code, CI/CD pipelines, security testing and modern authentication technologies. Experience with threat modelling frameworks, AI governance principles, privacy requirements and industry security standards is highly desirable. Strong communication and leadership skills are essential, as is the ability to translate complex technical risks into clear recommendations and prioritised action. A hands-on, collaborative approach and a commitment to ethical, reliable and secure AI adoption are expected.
AI Security Engineering Lead
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