20 beste Stellen als ai security in zürich, zh – aktuell auf Personalsuche

As an AI Security Engineer, you will be responsible for securing AI-powered applications, machine-learning systems and emerging generative AI technologies against cyber threats.

You will work at the intersection of Cyber Security, Artificial Intelligence and Software Engineering, helping organisations identify and mitigate security risks throughout the entire AI lifecycle.

You will collaborate closely with Security, Engineering, Data Science, Cloud and IT teams to build secure and resilient AI environments.

Responsibilities:

Design and implement security controls for AI and Machine Learning systems
Assess security risks associated with Generative AI, LLMs and AI-powered applications
Perform security assessments and threat modelling of AI systems
Identify and mitigate vulnerabilities such as prompt injection, data poisoning, model manipulation, model extraction and adversarial attacks
Develop security architectures for AI/ML platforms and applications
Implement security controls across the AI development lifecycle
Support the integration of AI security into DevSecOps processes
Conduct AI security assessments, penetration testing and red-team activities
Monitor AI systems for anomalous or malicious behaviour
Develop and maintain security policies, standards and technical controls for AI environments
Collaborate with software engineers, data scientists and security teams to improve the security posture of AI solutions
Stay up to date with emerging AI security threats, attack techniques, vulnerabilities and industry standards
Contribute to the development of security frameworks and best practices for responsible and secure AI adoption

Qualifications:

Degree in Computer Science, Cyber Security, Information Security, Artificial Intelligence or a comparable technical field
Several years of professional experience in Cyber Security, Application Security, Cloud Security, ML Security or a related discipline
Strong understanding of cybersecurity principles, threat modelling and secure software development
Practical knowledge of Artificial Intelligence and Machine Learning
Experience with LLMs, Generative AI or AI-powered applications
Understanding of AI-specific attack vectors and vulnerabilities
Experience with cloud environments such as Azure, AWS or Google Cloud
Knowledge of DevSecOps and CI/CD security
Strong programming or scripting skills, preferably Python
Experience with security testing, penetration testing or red teaming is an advantage
Familiarity with frameworks and standards such as OWASP, MITRE ATT&CK, NIST AI RMF or ISO 27001 is a plus
Analytical mindset with strong problem-solving skills
Excellent communication and collaboration skills
German C1 / English B2 level

Contact:

Roman Bättig, Talent Manager

?? +41 76 415 82 22
?? [email protected]

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