Senior AI Security Content Engineer (Fixed Term)

TryHackMe; Brussel; Sur place; EUR 80 339 - 103 293; Plein temps

Avantages offerts par ce poste

Flexible working hours

Health Insurance

401k / Pension

Annual company retreat

Training budget

Résumé du poste

A leading cybersecurity training platform is seeking a Senior AI Security Content Engineer to develop AI-focused training content. The role requires deep cybersecurity expertise and AI/ML knowledge to create engaging learning experiences. The ideal candidate should have hands-on experience in cybersecurity, familiarity with AI system architectures, and excellent writing skills. This fully remote position offers flexible hours, a personal development budget, health insurance, and more.

Qualifications

• 5+ years of hands-on cybersecurity experience.
• Practical knowledge of AI/ML systems and their security implications.
• Hands-on experience with AI security tools and Python.

Responsabilités

• Research and design AI security labs covering vulnerabilities and attack vectors.
• Collaborate with the Content Engineering Team to align content with learning pathways.
• Stay updated with the AI threat landscape.

Connaissances

Cybersecurity experience

AI/ML knowledge

Technical writing skills

Network security principles

Outils

Python ML/AI libraries

AI security tools

Description du poste

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 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 and elevating the quality and accuracy of content across the team
• Excel at sharing AI security expertise (and any other relevant expertise) with team members, translating technical research into actionable insights

Preferred Skills (nice-to-have):

• Experience building or evaluating LLM-based applications (e.g., LangChain, OpenAI API, Azure OpenAI, or Hugging Face)
• Familiarity with AI red teaming and adversarial testing
• Programming experience with Python, PowerShell, or Bash
• Experience with AI model testing, validation, or security assessment
• Understanding of MLOps security and CI/CD pipeline hardening
• Background in CTF challenge design or gamified cybersecurity content
• Previous experience creating technical training content or educational materials
• Security Certifications / AI certifications are a nice-to-have
• Experience working with or defending cloud-native AI infrastructure (e.g., Azure AI, AWS SageMaker, GCP Vertex AI)

🚣 100% Remote - In a fully digital world, work from anywhere you want!

🕒 Flexi Time - Choose your own hours as long as you have at least 4 hours of overlap with the UK timezone (from 8am - 6pm)

💻 Tools - a dedicated work laptop + any accessories you need to do your best work.

👕 Swag Pack - start your TryHackMe journey with a branded swag bundle!

💪 Personal Development - £2,500 training budget to acquire certifications, and more.

⛱️ Company Retreat - an annual company retreat, fully paid for by us!

🍕 Lunch on us - whether you\'re a pizza-lover, salad obsessed or a big sushi fan, TryHackMe will cover the cost of your lunch order during our recurring company virtual lunches.

🧡 Health Insurance - if you\'re in a country that doesn\'t have public health care.

🍼 Enhanced Maternity & Paternity - an enhanced package on top of statutory requirements.

💸 401k / Pension - TryHackMe makes it easy to save money for your retirement.

Our Hiring Process

• Stage 1: Short introduction call (30 mins)
• Stage 2: Technical Take Home Exercise
• Stage 3: Technical interview (one hour)
• Stage 4: Final call with a Co-Founder (30 mins)

At this time, we are unable to provide sponsorship.

TryHackMe takes the pain out of learning and teaching cyber security. Our platform makes it a comfortable experience to learn by designing prebuilt courses that include virtual machines (VM) hosted in the cloud and ready to be deployed. This avoids the hassle of downloading and configuring VMs. Our platform is perfect for CTFs, Workshops, Assessments, or Training. We\'ve come a long way since launching in 2018, with over six million users on the platform!