AI Security Engineer

Start: Immediately | Level: Senior | Location: Germany, remote | Working hours: Full time (40h/Week) 

As an AI Security Engineer(gn) , you play a key role in enabling the secure adoption of Artificial Intelligence across the organization. You are responsible for securing AI systems, Generative AI solutions, LLM-based workflows, AI-powered tools, and the integration of external AI services. Acting as the central point of contact for AI Security, you define security standards, conduct architecture and risk assessments, and develop technical and organizational safeguards to mitigate risks. You also drive the automation of security controls and governance processes while supporting teams across the business in the secure and compliant use of AI technologies.

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