Role overview

AI Security Engineer (gn)

Requirements and responsibilities

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Your mission

  • You advise on and assess internally developed and externally sourced AI systems, Generative AI applications, LLM-based workflows, and agentic AI solutions from a security perspective
  • You conduct AI threat modeling, risk assessments, security reviews, and architecture assessments for software, cloud, and AI environments
  • You develop and implement Secure AI-by-Design and Security-by-Default principles and define security requirements for AI-powered systems
  • You identify and assess risks such as prompt injection, jailbreaking, data leakage, model poisoning, adversarial attacks, and insecure agent integrations, and develop appropriate mitigation strategies
  • You perform AI red teaming, technical security assessments, and reviews to strengthen the security of LLM platforms, agentic AI solutions, and AI service integrations
  • You build automated security controls and integrate AI security checks into DevSecOps, CI/CD, and MLOps processes
  • You establish monitoring and detection capabilities for AI applications and collaborate with Security Operations teams to investigate security events and abuse patterns
  • You advise engineering, product, and business teams on the secure use of AI and support the rollout of new AI solutions through training, standards, and best practices

Your experience & skills

  • You hold a degree in Computer Science, Cyber Security, Information Security, or a comparable qualification
  • You have several years of experience in Security Engineering, Application Security, Cloud Security, or a related Cyber Security field
  • You have hands-on experience with Generative AI, Large Language Models (LLMs), modern AI platforms, and cloud technologies such as Azure, AWS, or Google Cloud
  • You have experience with threat modeling, security assessments, architecture reviews, and modern DevSecOps, CI/CD, or MLOps practices
  • Knowledge of AI security frameworks and standards such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, or similar approaches is a plus
  • Ideally, you have experience with AI Red Teaming, RAG architectures, vector databases, agentic AI concepts, or regulatory frameworks such as ISO 27001, NIS2, and the EU AI Act
  • You combine strong analytical thinking and a security-first mindset with a structured and solution-oriented approach to work
  • You are an effective communicator who can explain complex technical topics to both technical and non-technical stakeholders
  • You are fluent in German and English, both written and spoken

Why choose us?

  • Flexible working hours and remote work options
  • Attractive employee discounts
  • Subsidy for the E-gym Wellpass
  • Workation
  • Corporate benefits
  • 28 days vacation/year
  • and much more
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Browse stack
FocusAI Security EngineerRole area
Seniority signalMiddleCandidate level
StackAWS, Azure, CI/CDPrimary skills
Location38 accepted countriesEligibility

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