Role Purpose
Provide specialist security leadership for Agentic AI, autonomous workflows, multi-agent systems and LLM-powered applications.
The role will focus on protecting AI agents, tools, memory, data and orchestration layers from misuse, adversarial attacks and unintended actions.
Key Responsibilities
- Lead threat modelling for AI agents, tool-calling architectures, autonomous workflows and multi-agent ecosystems.
- Assess security risks across prompts, models, memory, retrieval, APIs, plugins, tools and identity boundaries.
- Conduct AI red teaming and adversarial testing for agent manipulation, excessive agency, prompt injection and data leakage.
- Design security guardrails, approval controls, isolation patterns, policy enforcement and secure execution boundaries.
- Define security requirements for agent identity, authorisation, secrets, auditability and human oversight.
- Partner with platform and application teams to securely integrate agents with enterprise systems.
- Support monitoring, incident response and risk mitigation for Agentic AI solutions.
- Track emerging threats, standards and security control patterns relating to autonomous AI.
Required Skills and Experience
- Minimum 8 years of relevant professional experience, including substantial hands-on experience in the core specialisms of this role.
- Deep understanding of Agentic AI and LLM security.
- Hands-on experience with AI agent orchestration, RAG, tool calling, APIs and multi-agent architectures.
- Strong experience in AI red teaming, adversarial testing and threat modelling.
- Understanding of AI governance, security guardrails, responsible AI and model risk.
- Strong cloud, application and identity security expertise.
- Ability to translate emerging AI security risks into enterprise-grade security controls.
- Strong understanding of agent identity, authorisation, secrets management, auditability and human oversight.
Qualifications and Certifications
- Bachelor's degree in Cyber Security, Computer Science, Engineering, Data Science or a related discipline, or equivalent professional experience.
- CISSP, CCSP, CISM or equivalent certification is desirable.
- OSCP, CEH, GIAC or equivalent offensive security certification is advantageous.
- AI governance, Responsible AI or ML security certification is desirable.
Core Behaviours
- Strong ownership, analytical thinking and delivery focus.
- Ability to collaborate across UK and offshore multidisciplinary teams.
- Clear communication with technical and non-technical stakeholders.
- Commitment to secure, ethical and compliant engineering practices.
- Curiosity and continuous learning in a rapidly evolving AI security landscape.
