Job Opportunities API

Your Role: You will be the go‑to expert for   AI security architecture , shaping how we securely design, build, and operate AI solutions across ZEISS. Your responsibilities will include: • Design secure reference architectures and patterns for   AI platforms and AI applications • Consult product, data science, and platform teams on secure AI design and implementation • Secure AI systems against   data poisoning, model theft, adversarial attacks, and other AI‑specific threats • Define and implement measures for   model integrity, data privacy, bias mitigation, and robustness • Perform   threat modeling   and risk reviews tailored to AI workflows and pipelines • Implement and manage data security measures • Ensure strong authentication and authorization (e.g.   OAUTH2, RBAC, PIM) across AI services and platforms • Design and implement secure architectures for cloud platforms (i.e. Azure, AWS, GCP) • Guide secure use of   containers, orchestration, and   Infrastructure as Code   (e.g.   Terraform, PowerShell) for AI workloads • Integrate requirements from   ISO/IEC 27001, SOX, HIPAA, PCI DSS   into AI security concepts • Ensure alignment with   ethical AI principles   and evolving AI regulation, including the   EU AI Act • Define and review security concepts for AI platforms; conduct   security reviews   and   architecture assessments • Support   incident response   related to AI systems, advising on detection, containment, and remediation • Technical leadership and collaboration with international security teams, fostering collaboration across diverse, cross-functional groups • Act as a key link between   central security, regulatory functions, and the   Digital Technology Accelerator • Contribute actively to the ZEISS‑wide security community, sharing best practices in AI security Your Profile: • A Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, or Physics • Minimum of 7+ years of professional experience in roles such as data modeling, algorithm development, data science, or similar fields • Proven track record in designing and implementing secure architectures for AI platforms and AI-driven use cases • Cloud Security: Certifications or training in cloud platforms (AWS, GCP, Azure preferred) and expertise in cross-provider cloud technologies (e.g., Microsoft Azure, Google GCP, Amazon AWS, Alibaba) • Strong understanding of software architectures, design patterns, and abstract thinking, with the ability to map capabilities to technologies effectively • Knowledge of HSM, certificate infrastructures, key vaults, TLS protocols, and authentication methods like OAUTH2 • Expertise in securing AI platforms, addressing risks like data poisoning and model theft, and ensuring compliance with ethical AI principles, regulatory standards, and the EU AI Act • Experience with regulatory frameworks (ISO/IEC 27001, SOX, HIPAA, PCI DSS, EU AI Act) and integrating compliance requirements into AI security strategies • Proficiency in Python, managing code repositories, containerizing artifacts, and implementing "Infrastructure as Code" using tools like Terraform and PowerShell • Proven ability to give technical guidance to international teams, fostering collaboration and driving security initiatives across diverse, cross-functional groups Preferred Certifications • AI Security Certifications (e.g., AI-specific cybersecurity certifications) • Advanced Cloud Security Certifications (e.g., AWS Certified Security Specialty, Microsoft Certified: Azure Security Engineer Associate) Ihr ZEISS Recruiting Team: Markus Repp