AI Security Engineer
New
Deutschland, remoteFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Deutsch, Englisch
- Experience
- Mehrjährige Erfahrung
- Required Skills
- CybersecurityCI/CDMLOpsGenerative AI
Requirements
- Completed degree in Computer Science, Cyber Security, Information Security, or equivalent.
- Multi-year professional experience in Security Engineering, Application Security, or Cloud Security.
- Practical experience with Generative AI, Large Language Models (LLMs), and modern AI platforms.
- Experience with cloud technologies such as Azure, AWS, or Google Cloud.
- Proficiency in threat modeling, security assessments, and architecture reviews.
- Knowledge of DevSecOps, CI/CD, or MLOps processes.
- Familiarity with AI security standards (OWASP Top 10 for LLM, MITRE ATLAS, NIST AI RMF) is a plus.
- Experience with AI Red Teaming, RAG, vector databases, or ISO 27001/NIS2/EU AI Act is ideal.
- Excellent communication skills in both German and English (written and spoken).
Responsibilities
- Consult and evaluate internal and external AI systems, Generative AI applications, and agentic systems.
- Conduct AI Threat Modeling, risk analyses, and security assessments.
- Develop Secure AI-by-Design principles and define security requirements.
- Identify and mitigate risks such as prompt injection, jailbreaking, data leakage, and model poisoning.
- Execute AI Red Teaming and technical security reviews for LLM platforms.
- Develop automated security controls integrated into DevSecOps, CI/CD, and MLOps processes.
- Establish monitoring and detection mechanisms for AI applications.
- Advise development and product teams on safe AI usage through training and standards.
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