AI Security Engineer

Huxley; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Huxley in London/Glasgow is seeking an AI Security Engineer to secure AI platforms and systems against adversarial threats. The role focuses on technical security controls, threat modelling, red teaming, and continuous monitoring of AI systems.

Responsibilities include designing security controls for AI/LLM systems, AI threat modelling, leading red/blue team testing, and implementing monitoring, logging, and alerting for AI behaviour. Experience securing APIs and distributed systems is required.

Qualifications

• Strong background in security engineering and cloud security.
• Hands-on experience with AI red teaming and adversarial testing.
• Familiarity with AI security tooling and LLM testing frameworks.
• Experience securing APIs and distributed systems.

Responsibilities

• Design and implement security controls for AI and LLM systems
• Perform AI-specific threat modelling and risk analysis
• Lead red team and blue team testing of AI platforms
• Conduct prompt injection and adversarial testing
• Implement monitoring, logging, and alerting for AI behaviour
• Secure AI pipelines, APIs, and orchestration layers
• Support secure deployment and CI/CD practices

Skills

Security engineering

Cloud security

AI red teaming

Adversarial testing

AI security tooling

LLM testing frameworks

APIs and distributed systems security

Job description

AI Security Engineer, London / Glasgow

The AI Security Engineer is responsible for securing AI platforms and systems against adversarial threats.

The role focuses on technical security controls, threat modelling, red teaming, and continuous monitoring of AI systems.

Responsibilities:

• Design and implement security controls for AI and LLM systems
• Perform AI-specific threat modelling and risk analysis
• Lead red team and blue team testing of AI platforms
• Conduct prompt injection and adversarial testing
• Implement monitoring, logging, and alerting for AI behaviour
• Secure AI pipelines, APIs, and orchestration layers
• Support secure deployment and CI/CD practices

Skills & Experience:

• Strong background in security engineering and cloud security
• Hands-on experience with AI red teaming and adversarial testing
• Familiarity with AI security tooling and LLM testing frameworks
• Experience securing APIs and distributed systems