AI Product Security Architect

New

Skills

Architecture Data Privacy devsecops Distributed systems Documentation Leadership Python Security Software Engineering

Join GitLab's Security Platforms & Architecture Team as a Staff AI Product Security Architect, focusing on securing the company's advanced AI-powered DevSecOps capabilities. This remote, senior leadership role involves shaping secure-by-design principles and scalable architectural patterns for AI integrations across the platform, impacting millions of developers worldwide. Work collaboratively at the intersection of AI innovation and security, influencing both product direction and industry standards in AI security for DevSecOps.

Key Responsibilities
  • Design and implement robust security architectures for AI features and multi-agent collaboration systems.
  • Establish secure-by-design principles and reference patterns for AI system integration.
  • Conduct comprehensive threat modeling and risk assessments for AI and orchestration platforms.
  • Develop and maintain security standards for AI model integration, data handling, and agent communication.
  • Provide expert consultation and mentorship to engineering and security teams on AI security architecture.
  • Collaborate with Product, Engineering, and Security teams to balance security requirements with development velocity.
  • Ensure compliance with regulatory frameworks such as the EU AI Act, NIST AI RMF, and data privacy regulations.
  • Stay current with AI security threats and industry best practices, translating findings into architectural improvements.
  • Contribute to technical documentation, standards development, and community engagement.
Required Skills & Qualifications
  • 8+ years in security architecture or application security, with significant experience in AI/ML systems.
  • Deep understanding of AI system architectures, vulnerabilities, and distributed system security.
  • Proven expertise in threat modeling and security controls for distributed applications.
  • Strong knowledge of secure software development lifecycle practices and DevSecOps methodologies.
  • Ability to communicate complex security concepts to diverse audiences.
  • Experience with AI frameworks, agent architectures, and orchestration platforms.
  • Programming skills in Python and hands-on experience with AI technologies.
  • Familiarity with AI regulatory compliance and governance frameworks.
  • Security certifications such as CISSP, CCSP, or equivalent (preferred).
  • Background in software engineering and distributed systems; experience with GitLab or similar platforms is a plus.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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