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 ..... full job details .....