Senior AI Security Content Engineer

TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for handful of years, we've grown to more than 7+ million community members and our growth isn't slowing down 🥷

The Role

We're looking for a Senior AI Security Content Engineer to help us design and develop cutting-edge AI-focused cybersecurity training content. This is a senior role that demands deep, hands-on cybersecurity expertise combined with strong AI/ML knowledge — you\'ll be creating advanced learning experiences that teach our users how to secure, assess, and defend AI/ML systems in an era where artificial intelligence is rapidly transforming the security landscape.

In this role, you\'ll research and develop immersive training content covering AI system vulnerabilities, attack vectors, and defensive strategies. From prompt injection and model manipulation to supply chain attacks and data poisoning, you\'ll transform complex AI security concepts into engaging, practical labs that help millions of learners build essential skills for the future of cybersecurity.

The ideal candidate brings proven, hands-on cybersecurity experience — you\'ve worked in the trenches of blue team operations, security engineering, incident response or in the realms of offensive security or cloud security — and you have a strong working knowledge of AI/ML systems, their architectures, and the unique security challenges that arise when integrating them into existing organisational infrastructure. You understand both the cybersecurity fundamentals and the AI landscape well enough to teach others how to defend at the intersection of the two.

Technical Skills & Experience

To be considered for this opportunity, you must have at least 5+ years of hands-on cybersecurity experience in roles such as:

• Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or Penetration Tester

In addition, you must demonstrate practical knowledge of AI/ML systems and their security implications, gained through professional experience, personal projects, or research — including hands-on exposure to AI model deployment, MLOps pipelines, or cloud-based AI environments (Azure, AWS, GCP).

Mandatory cybersecurity skills — you must be able to demonstrate:

• Deep, hands-on experience with defensive/offensive security fundamentals: threat detection, incident response, log analysis, digital forensics, security monitoring, penetration testing, etc;
• Proficiency with core security tools and frameworks (SIEM, EDR, IDS/IPS, MITRE ATT&CK, or similar)
• Strong understanding of network security, endpoint security, and cloud security principles
• Proven ability to investigate, analyse, and respond to real-world security incidents

Mandatory AI/ML security skills — you must also demonstrate:

• Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces (model poisoning, data leakage, prompt injection, adversarial attacks, etc.)
• Ability to analyse and articulate AI system vulnerabilities, their potential impact, and available mitigation strategies
• Familiarity with AI/LLM security frameworks, such as:
• OWASP Top 10 for LLMs
• MITRE ATLAS
• AI/ML Supply Chain Security (e.g., model provenance, dataset integrity)
• Hands-on skills with AI security tools (such as Garak, MLflow) and Python ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.)
• Hands-on experience with creating AI agents - especially in the cyber field

You should also bring:

• Excellent technical writing and communication skills, capable of translating complex AI security concepts into engaging, digestible learning material
• Ability to research and synthesise emerging AI security threats and defensive techniques
• Understanding of AI governance, model interpretability, and security best practices

Job Responsibilities

• Research, design, and develop comprehensive AI security labs for TryHackMe, creating realistic attack/defence scenarios (prompt injection, model exfiltration, adversarial inputs, supply chain attacks) and immersive learning experiences that cover AI vulnerabilities, attack vectors, impacts, and mitigation strategies
• Draw on your hands-on cybersecurity background to ensure all AI security content is grounded in real-world defensive practices and threat landscapes
• Collaborate with the Content Engineering Team to align AI-focused content with TryHackMe\'s learning pathways
• Translate cutting-edge AI security research and real-world incidents into interactive, practical learning experiences
• Stay curren