Stichworte
Zusammenfassung
Fresenius SE & Co. KG aA in Bad Homburg vor der Höhe sucht einen AI Security Lead, der die Gestaltung und den Betrieb von Sicherheitskontrollen für KI-Plattformen und -Modelle innerhalb der Fresenius-Gruppe verantwortet. Die Rolle zielt darauf ab, KI-spezifische Sicherheitsmuster in Engineering-, MLOps- und CI/CD-Prozesse zu integrieren und bestehende Security-Services über die CISO-Pillars hinweg zu erweitern. Gefragt wird tiefgreifende Expertise in Enterprise Security Controls, KI/ML-Bedrohungslandschaften sowie Frameworks wie NIST AI RMF und ISO/IEC 42001. Das Unternehmen bietet ein herausforderndes Umfeld an einem Top-Arbeitsplatz innerhalb eines der führenden europäischen Gesundheitskonzerne. Business-fluent English ist Voraussetzung, Deutschkenntnisse sind von Vorteil.
Benefits und Qualifikationen
- Top-Arbeitsplatz mit herausforderndem Arbeitsumfeld
- Zugang zur internen Expertise-Bank für kontinuierliche Weiterbildung
- Zusammenarbeit mit spezialisierten AI-Security-Vendoren und -Dienstleistern
Stellenausschreibung
Step into the IT Security team at Fresenius Digital Technology, where we architect, manage, and operate security programs across diverse business segments of the Fresenius Group.
We are seeking a driven professional to design, sustain, and integrate security controls for AI platforms and models into engineering and operational workflows. You will collaborate closely with enabling teams across the CISO pillars, enhancing existing security services with AI-specific capabilities and patterns.
Expect a dynamic, top-tier workplace that challenges your expertise while expanding your professional skill set.
Your responsibilities:
- Design, implement, and continuously refine security controls for AI platforms, models, data pipelines, and inference environments
- Integrate AI-specific security requirements into engineering, MLOps, and day-to-day operational processes
- Partner with SOC/CERT, IAM, Cloud Security, Platform Security, and Security Management to extend existing services with AI-specific capabilities – avoiding parallel structures
- Establish consistent, scalable security patterns and guardrails for AI use cases to prevent fragmented risk treatment across business units
- Serve as the enterprise point of expertise on emerging AI risks (model poisoning, data leakage, adversarial inputs, misuse of generative outputs), proactively mitigating threats before they become incidents
- Collaborate with group stakeholders to embed AI security controls into enterprise AI/ML platforms and CI/CD pipelines
Your qualifications:
- Deep experience in designing, operating, and scaling enterprise security controls with strong operational ownership and seamless integration into SOC/CERT, IAM, cloud, and CI/CD environments
- Strong understanding of AI/ML platforms (data pipelines, model training, inference, model repositories) and AI-specific threats including model poisoning, data leakage, adversarial inputs, and misuse of generative outputs
- Proven track record embedding AI security controls into enterprise platforms and workflows
- Hands-on experience with AI/ML security techniques, tools, or frameworks such as adversarial ML, model scanning, AI guardrails, MITRE ATLAS, and secure AI lifecycle approaches
- Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001, and emerging regulations like the EU AI Act, with experience translating these into practical technical controls
- Experience shaping multi-year security capability roadmaps, building investment cases, and managing specialist vendors delivering AI security tooling and services
- Excellent communication and presentation skills, strong analytical thinking, and an independent, responsible work style
- Business-fluent English is required; German language skills are an advantage
Join #futurefresenius and apply now through our online portal to make an impact!