Description

You will secure the AI ecosystem by designing resilient architectures and implementing practical guardrails. Your work bridges the gap between governance and engineering to ensure safe deployments.

Requirements

• •Langjährige Erfahrung in Security Architecture oder Application Security
• •Expertise in Threat Modeling und DevSecOps-Methoden
• •Sehr gute Kenntnisse in IAM und Cloud-Security
• •Klare Vermittlung komplexer Security-Konzepte
• •Ausgeprägtes Urteilsvermögen für Security-Bedarfe
• •Erfahrung mit AI-Workflow-Validierung und LLM-Security
• •Kenntnisse von EU AI Act oder NIST AI RMF
• •Programmierkenntnisse in Python und Security-Automatisierung
• •Relevante Zertifizierungen wie CISSP-E oder CCSP
• •Erfahrung mit GitLab oder DevSecOps-Plattformen
• •Vertrautheit mit CNAPP und IaC-Tools
• •Extensive experience in security architecture or application security
• •Expertise in threat modeling and DevSecOps
• •Strong knowledge of IAM and encryption
• •Ability to communicate complex security concepts
• •Ability to balance security with business needs
• •Experience with AI validation and LLM security
• •Familiarity with EU AI Act or GDPR
• •Python skills and automation scripting
• •Security certifications like CISSP-E or CCSP
• •Experience with GitLab or SIEM integrations
• •Knowledge of CNAPP and IaC tooling

Tasks

• •Develop security architectures for AI integrations
• •Protect against prompt injection and model abuse
• •Create threat models for AI workflows
• •Implement guardrails and RBAC/ABAC policies
• •Build monitoring systems for model drift and hallucinations
• •Integrate AI logging into enterprise SIEM platforms
• •Establish security-by-design and human-in-the-loop controls
• •Lead red-team exercises and uncover vulnerabilities
• •Develop incident response playbooks for AI threats
• •Advise engineering teams on IAM and cloud protection
• •Automate security tasks using scripting and IaC
• •Balance security requirements with product velocity

Tools & Technologies