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› Cybersecurity › Senior AI Security Content Engineer (Fixed Term)
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Senior AI Security Content Engineer (Fixed Term)
TryHackMevia TryHackMe
Salary
Not Disclosed
Location
Remote (min. 4h overlap with UK hours 8am-6pm; no visa sponsorship)
Type
Contract
Deadline
30 Oct 2026
7 days left
Job Description
TryHackMe seeks a senior professional to design and develop cutting-edge AI-focused cybersecurity training content, requiring deep, hands-on cybersecurity expertise combined with strong AI/ML knowledge.
Research, design, and develop comprehensive AI security labs for TryHackMe, creating realistic attack/defence scenarios (prompt injection, model exfiltration, adversarial inputs, supply chain attacks).
Draw on your hands-on cybersecurity background to ensure all AI security content is grounded in real-world defensive practices.
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 current with the evolving AI threat landscape and update content to reflect new attack techniques and defences.
Contribute to the content roadmap for AI and emerging technology tracks.
Serve as a subject matter expert across both cybersecurity and AI security, mentoring other content engineers.
Excel at sharing AI security expertise with team members, translating technical research into actionable insights.
Requirements
Minimum 5+ years of hands-on cybersecurity experience in roles such as Security Engineer, SOC Analyst, Threat Hunter, Incident Responder, or Penetration Tester.
Deep, hands-on experience with defensive/offensive security fundamentals (threat detection, incident response, log analysis, digital forensics, security monitoring, penetration testing).
Proficiency with core security tools and frameworks (SIEM, EDR, IDS/IPS, MITRE ATT&CK, or similar).
Understanding of network security, endpoint security, and cloud security principles.
Proven ability investigating and responding to real-world security incidents.
Solid grasp of AI/ML system architectures, data pipelines, and attack surfaces.
Ability to analyse AI system vulnerabilities, their potential impact, and available mitigation strategies.
Familiarity with OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI Risk Management Framework.
Hands-on skills with AI security tools (such as Garak, MLflow) and Python ML/AI libraries (TensorFlow, PyTorch, Hugging Face).
Hands-on experience with creating AI agents - especially in the cyber field.
Excellent technical writing and communication skills.
Understanding of AI governance, model interpretability, and security best practices.
Preferred: Experience building or evaluating LLM-based applications.
Preferred: Familiarity with AI red teaming and adversarial testing.
Preferred: Programming experience with Python, PowerShell, or Bash.
Preferred: AI model testing, validation, or security assessment experience; MLOps security and CI/CD pipeline hardening knowledge.
Preferred: Background in CTF challenge design or gamified cybersecurity content; previous technical training content creation experience.
