ZEISS

Security Architect - AI (f/m/x)

Germany · Work style not stated · Full time

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About the role

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  • EmployerZEISS
  • LocationGermany
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Your Role:

You will be the go‑to expert forAI security architecture, shaping how we securely design, build, and operate AI solutions across ZEISS.

Your responsibilities will include:

Design secure reference architectures and patterns forAI platforms and AI applications

Consult product, data science, and platform teams on secure AI design and implementation

Secure AI systems againstdata poisoning, model theft, adversarial attacks, and other AI‑specific threats

Define and implement measures formodel integrity, data privacy, bias mitigation, and robustness

Performthreat modelingand 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)

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Guide secure use ofcontainers, orchestration, andInfrastructure as Code(e.g.Terraform, PowerShell) for AI workloads

Integrate requirements fromISO/IEC 27001, SOX, HIPAA, PCI DSSinto AI security concepts

Ensure alignment withethical AI principlesand evolving AI regulation, including theEU AI Act

Define and review security concepts for AI platforms; conductsecurity reviewsandarchitecture assessments

Supportincident responserelated 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 betweencentral security, regulatory functions, and theDigital 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)

Your ZEISS Recruiting Team:

Markus Repp

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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python AWS GCP Azure Terraform

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