Staff AI Product Security Architect

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
• Strong collaborative skills with experience influencing technical decisions across organizations

Nice to Have

• 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

What You'll Be Doing

• 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
• Contribute to industry thought leadership through technical documentation, standards development, and community engagement

Perks and Benefits

• Benefits to support your health, finances, and well-being
• All remote, asynchronous work environment
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support