AI Security Engineer

Overview

In this role you will lead the technical ownership of AI security tooling and advocate for secure AI deployments. You will work within Cyber Security and Compliance to protect PA’s AI systems while enabling innovative AI-enabled protection, detection and response. You’ll evaluate and deploy AI security tools, integrate them with SIEM/SOAR/EDR, and translate governance frameworks into practical controls. Your work directly supports safer AI usage across client projects and internal systems.

Pay / Benefits

• Private healthcare for you and your family
• 25 days annual leave (plus Christmas Eve half-day)
• Generous pension scheme
• Annual performance-based bonus
• PA share ownership
• Tax efficient benefits (cycle to work, give as you earn)

Responsibilities

• Own AI security tool selection and deployment, including requirements, evaluations, and proofs of concept
• Integrate tools with existing SIEM, SOAR, EDR and identity tooling; ensure value after go-live
• Contribute to vendor risk assessments focusing on data handling in vendor models
• Understand AI threat landscape and communicate risks; apply OWASP Top 10 for LLM Applications and MITRE ATLAS
• Conduct adversarial testing and red teaming of AI systems and oversee third-party testing
• Develop and demonstrate AI protection, detection and response capabilities (e.g., vulnerability prioritisation, threat hunting, incident summaries)
• Translate governance frameworks into technical controls and evidence; ensure human-in-the-loop controls when needed
• Build demonstrators to show value and influence investment or adoption decisions

Key requirements

• Security engineer background (cloud security, security architecture, or SOC engineering)
• ML and LLM literacy; understanding models, RAG pipelines and agents
• Reasonable Python or scripting ability
• Cloud platform experience
• Strong ability to explain AI risk to non-specialist decision-makers

• Strong communication skills
• Stakeholder engagement
• Pragmatic, evidence-based approach
• AI security tooling
• AI threat modelling
• RAG pipelines and agents

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