AI Security Architect
We are seeking an experienced AI Security Architect to define and strengthen security strategies for artificial intelligence, machine learning, and data-driven platforms. In this role, you will design secure-by-default architectures across the AI lifecycle, from data collection and model development through deployment, monitoring, and retirement. You will work closely with engineering, data science, cloud, product, risk, and compliance teams to embed security into innovative solutions without limiting their business value.
Your responsibilities will include conducting threat modelling and security reviews for AI systems; identifying risks such as prompt injection, data poisoning, model theft, adversarial manipulation, insecure plugins, privacy leakage, and supply-chain compromise; and establishing appropriate controls for identity, access, encryption, data protection, model governance, and platform resilience. You will create reference architectures, security standards, design patterns, and technical guidance for generative AI and traditional machine learning environments. You will also support incident response, vulnerability management, security testing, third-party assessments, and the continuous monitoring of model and application behaviour. Where required, you will help translate regulatory and industry expectations into practical engineering requirements.
The successful candidate will bring substantial experience in cybersecurity architecture, cloud security, application security, or a closely related discipline, together with a strong understanding of AI and machine learning technologies. You should be confident assessing complex technical risks and communicating recommendations to both specialist and non-specialist stakeholders. Experience with major cloud platforms, containerisation, APIs, software development practices, data governance, and security frameworks such as NIST, ISO 27001, or the OWASP guidance for machine learning and large language models is highly desirable. Relevant professional certifications in security, cloud, architecture, or privacy are beneficial. A proactive, analytical approach, strong collaboration skills, and a commitment to responsible and trustworthy AI are essential.
AI Security Architect
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