AI Security Engineer

AI Enablement & Automation

• Work with teams across the organisation — including non-technical ones — to identify where AI can meaningfully improve how they work.

• Design and build AI-powered automations and workflows, turning business requirements into working solutions.

• Embed directly with teams to understand their processes, then prototype and iterate quickly.

• Help teams understand what AI can and cannot do, and guide them in using it effectively and responsibly.

• Document patterns, playbooks, and reusable components so that knowledge scales beyond individual projects.

 

AI Security

• Participate in security reviews of AI-enabled applications, agents, and LLM-integrated workflows.

• Help identify vulnerabilities in LLM-based systems: prompt injection, data leakage, insecure tool use, and authentication gaps.

• Support evaluation of agentic workflows for privilege escalation, unsafe action chaining, and unintended side effects.

• Assist with assessing how third-party AI platforms (e.g., Claude, OpenAI APIs, internal AI tools) are integrated and used across the organisation.

• Apply frameworks such as OWASP LLM Top 10 and MITRE ATLAS to help identify and prioritise risks.

• Help maintain an inventory of AI tools in use and support internal governance and policy documentation.

• Contribute to building test harnesses and repeatable validation frameworks.

• Work with engineering teams to translate findings into actionable mitigations.

• Stay current — this space moves fast, and you'll be expected to keep pace.

 

Must-Haves

• Hands-on experience with LLMs, AI APIs, or AI-powered tooling — you have built or experimented with something using them.

• Able to communicate clearly with non-technical people and translate what you are working on into plain language.

• Can write code or scripts to get things done — language is less important than the ability to ship.

• Exposure to LLM security concepts — prompt injection, jailbreaks, RAG risks — even from personal research or reading.

• Curious, self-directed, and comfortable figuring things out without a detailed playbook.

 

Nice-to-Haves

• Experience building automations or integrations using AI tools 

• Familiarity with agent orchestration, tool calling, or multi-agent systems.

• Exposure to application security fundamentals: OWASP, secure SDLC, code review.

• Any cloud platform exposure (AWS, Azure, GCP).

• CTF participation, bug bounty, or independent security research.

• Incident Response experience; lead or in a front-line IR team 

• Knowledge of AI governance or compliance frameworks.

 

What We Offer

• Direct exposure to AI systems across the entire organisation.

• A role where you will help shape how we adopt and secure AI — not follow a playbook someone else wrote.

• A team that takes security seriously and gives you space to grow into it.

• Curiosity and self-direction are genuine assets here.