AI Security Architect Lead

New

Skills

Ai Frameworks Architecture devsecops Distributed systems Leadership Python Regulatory Compliance Security Software Engineering

Join GitLab as a Staff AI Product Security Architect and play a pivotal role in securing the future of AI-powered DevSecOps. As a senior technical leader within our Security Platforms & Architecture Team, you will design and implement robust security architectures for AI integrations across our platform, including multi-agent collaboration and AI-driven developer experiences. This remote role offers the opportunity to influence industry standards, collaborate cross-functionally, and shape security practices for millions of developers worldwide.

Job Overview
  • Lead the design and implementation of scalable security architectures for AI-powered systems.
  • Establish secure-by-design principles for AI integrations and agent platforms.
  • Work at the intersection of AI innovation and security excellence, impacting product development and industry standards.
  • Partner with Product, Engineering, and Security teams to deliver practical solutions for complex AI security challenges.
  • Contribute to thought leadership in AI security for DevSecOps platforms.
Key Responsibilities
  • Design secure architectures for AI integrations, agent security, and workflow validation.
  • Conduct threat modeling and risk assessments for AI features and multi-agent orchestration.
  • Develop and document security standards for AI model integration and agent communication.
  • Advise engineering teams on AI security architecture and trade-offs.
  • Stay updated on AI security threats and best practices, integrating findings into architecture improvements.
  • Collaborate with legal and compliance teams to ensure regulatory alignment (EU AI Act, NIST AI RMF, data privacy).
  • Mentor engineers and team members on AI security principles.
Required Skills & Qualifications
  • 8+ years in security architecture or application security, with expertise in AI/ML systems.
  • Deep understanding of AI system architectures and security vulnerabilities.
  • Proven experience in threat modeling and distributed systems security.
  • Strong knowledge of secure software development lifecycle and DevSecOps methodologies.
  • Ability to communicate complex security concepts to technical and non-technical audiences.
  • Hands-on experience with AI frameworks, agent architectures, and orchestration platforms.
  • Programming skills in Python and familiarity with AI workflows.
  • Knowledge of regulatory compliance frameworks for AI systems.
  • Security certifications (CISSP, CCSP, or similar) preferred.
  • Background in software engineering and distributed systems is a plus.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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