Job
- Level
- Senior
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will design secure architectures and reference patterns for AI applications, consult agile teams on implementation, and secure against threats like data poisoning and model theft.
Job Technologies
Your role in the team
- You will be the go-to expert for AI security architecture, shaping how we securely design, build, and operate AI solutions across ZEISS.
- 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.
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Our expectations of you
Education
- A Master's degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, Mathematics, or Physics.
Qualifications
- 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.
- 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.
Experience
- Minimum of 7+ years of professional experience in roles such as data modeling, algorithm development, data science, or similar fields.
- Experience with regulatory frameworks (ISO/IEC 27001, SOX, HIPAA, PCI DSS, EU AI Act) and integrating compliance requirements into AI security strategies.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Carl Zeiss AG
ZEISS is a world-leading technology company that is active in the fields of optics and optoelectronics. In the last financial year, ZEISS generated sales revenues of more than 6.4 billion euros through its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (as at 30 September 2019).
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.7
Culture
4.0Workingconditions
4.6Career Growth
3.6Engineering
2.7
Security Architect - AI
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
