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Staff AI Product Security Architect
- New York, New York, United States
- New York, New York, United States
Über
This is a senior technical leadership position where you'll shape how GitLab approaches AI security across our entire platform. You'll be responsible for establishing secure-by-design principles for AI integrations, creating architectural patterns that engineering teams can leverage, and ensuring our AI capabilities meet enterprise security requirements. Responsibilities
Design and implement security architectures for AI integrations, including agent security, prompt injection prevention, and workflow validation Establish secure-by-design principles and patterns for AI systems that enable engineering teams to build secure capabilities efficiently Conduct comprehensive threat modeling and risk assessments for AI features and multi-agent orchestration platforms Develop security standards for AI model integration, data handling, and agent communication protocols Provide expert consultation to engineering teams on AI security architecture decisions and trade-offs Create architectural documentation and reference implementations that accelerate secure AI development Stay current with AI security threats, vulnerabilities, and industry best practices to inform architectural decisions Collaborate with Security Research to translate vulnerability findings into architectural improvements Partner with Product and Engineering leadership to balance security requirements with product velocity Mentor engineers and security team members on AI security architecture principles Work with legal and compliance teams to ensure AI systems meet regulatory requirements including EU AI Act, NIST AI RMF, and data privacy regulations Requirements
8+ years of experience in security architecture or application security, with significant experience securing AI/ML systems Deep understanding of AI system architectures and security vulnerabilities Proven expertise in threat modeling and security architecture for complex distributed systems Experience designing security controls for distributed applications and automated workflows Track record of developing security standards adopted across engineering organizations Strong knowledge of secure software development lifecycle practices and DevSecOps methodologies Ability to communicate complex security concepts to diverse technical and non-technical audiences Experience with AI frameworks, agent architectures, and orchestration platforms Demonstrated ability to balance security requirements with business objectives Nice To Have Qualifications
Experience with AI workflow validation, agent testing, and monitoring approaches Knowledge of AI regulatory compliance and governance frameworks Programming skills in Python with hands-on experience in AI frameworks Security certifications such as CISSP, CCSP, or similar Experience with GitLab or similar DevSecOps platforms Background in software engineering with expertise in distributed systems Published work or presentations on AI security architecture GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex, national origin, age, citizenship, marital status, mental or physical disability, genetic information, discharge status from the military, protected veteran status, or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
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Sprachkenntnisse
- English
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