Staff Engineer, AI Security

About the Role

The AppSec team at Twilio is dedicated to delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. With a strong culture of connection and global inclusion, you'll be part of a vibrant team making a global impact each day.

As a Staff Engineer, AI Security, you will be working closely with the Security and R&D teams to define the MLSecOps roadmap and ensure a 'secure-by-default' future for agentic workflows and resilient AI innovation.

What You Will Do

• Serve as the primary subject matter expert for all AI and machine learning security initiatives across security and R&D
• Design and manage AI gateways to provide a centralized control plane for authentication and authorization and rate limiting across all model and tool interactions
• Build and maintain an autonomous security agentic framework that utilizes multi-agent orchestration for end-to-end investigation and alert triage and remediation
• Develop agentic identity models using OAuth 2.1 to propagate identity across trust boundaries and prevent the confused deputy problem
• Help govern the AI augmented software development lifecycle by integrating real-time security gates into the developer environment and CI/CD pipeline
• Manage Agentic Security Solutions that secure AI lifecycle and manage AI workloads at runtime
• Author company-wide AI security standards and implement these security checks across Twilio’s stack
• Implement human-in-the-loop checkpoints and transactional safety protocols for high-impact or destructive agentic actions
• Partner with engineering leadership to set the long-term roadmap for identity-centric security and automated posture management
• Act as a knowledge multiplier by mentoring security engineers and developing secure-by-default paved road templates for R&D teams

What We Are Looking For

• 8+ years of experience in security engineering with at least 3 years focused on AI or machine learning security operations (MLSecOps)
• Expertise in orchestrating multi-agent systems with AWS Strands, LangGraph, and CrewAI, specializing in runtime
• Strong background in AI security operations and a deep understanding of AI lifecycle security
• Experience with OAuth 2.1 and identity propagation across trust boundaries
• Knowledge of human-in-the-loop checkpoints and transactional safety protocols
• Experience with CI/CD pipelines and integrating real-time security gates
• Strong leadership and mentoring skills, with the ability to act as a knowledge multiplier
• Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams

Nice to Have

• Experience with cloud-based security solutions and AWS
• Knowledge of machine learning frameworks and AI-powered security tools
• Experience with agile development methodologies and DevOps practices
• Certification in security engineering or a related field

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health insurance and wellness programs
• Generous PTO and parental leave policies
• Remote work stipend and home office setup support
• Opportunities for professional development and career growth
• Access to cutting-edge technologies and innovative projects
• Collaborative and dynamic work environment with a vibrant team

• Make sure to highlight your experience with AI security operations and multi-agent systems in your resume and cover letter.
• Be prepared to discuss your experience with OAuth 2.1 and identity propagation across trust boundaries during the interview process.
• Show examples of your work in building autonomous security agentic frameworks and integrating real-time security gates into CI/CD pipelines.
• Demonstrate your knowledge of human-in-the-loop checkpoints and transactional safety protocols, and be prepared to discuss how you would implement these in a real-world scenario.
• Research Twilio's company culture and values, and be prepared to discuss how you align with their mission and vision.
• Prepare to discuss your experience with cloud-based security solutions and AWS, and be ready to talk about your experience with machine learning frameworks and AI-powered security tools.