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 weve grown to more than 6 million community members and our growth isnt slowing down!

The Role

Were looking for an AI Security Content Engineer to help us design and develop cutting-edge AI-focused cybersecurity training content. Youll be creating hands-on 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 youll 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 youll 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 has strong experience in blue team or security engineering roles a solid understanding of AI/ML system architectures and their security implications and a passion for creating educational content that makes a real difference in peoples learning journeys. Whilst were starting with defensive (blue team) content theres opportunity to expand into offensive security content as the role evolves.

Technical Skills & Experience

To be considered for this opportunity you must have at least 3-5 years of relevant experience in cybersecurity or AI security in roles such as:

• Security Engineer SOC Analyst Threat Hunter Incident Responder or AI/ML Security Specialist
• With hands-on exposure to AI model deployment MLOps pipelines or cloud-based AI environments (Azure AWS GCP)

You should also demonstrate:

• Strong understanding of blue team fundamentals: threat detection incident response log analysis and security monitoring
• 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
  • NIST AI Risk Management Framework
  • AI/ML Supply Chain Security (e.g. model provenance dataset integrity)
• Hands-on skills with AI security tools (such as Garak MLflow Python ML/AI libraries like TensorFlow PyTorch Hugging Face etc)
• 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
• Collaborate with the Content Engineering Team to align AI-focused content with TryHackMes 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
• Mentor other content engineers on AI-related concepts and best practices in AI system security
• Excel at sharing AI security expertise (and any other relevant expertise) with team members translating technical research into actionable insights that elevate the quality and accuracy of content across the team

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
• Certifications such as SAL1 BTL2 CySA or TryHackMe SAL1
• Experience working with or defending cloud-native AI infrastructure (e.g. Azure AI AWS SageMaker GCP Vertex AI)

Benefits & Perks:

Salary - We hire across 35 countries. We determine salaries based on Geographic Location Seniority Interview Performance and Market Rates using leading compensation benchmarking tools.

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 - 2500 training budget to acquire certifications and more.

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

Lunch on us - whether youre 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 youre in a country that doesnt 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 (60 mins)
• Stage 4: Final call with a Co-Founder (30 mins)

At this time we are unable to provide sponsorship.