Staff Enterprise Security Engineer (AI Security)

Join Twilio as a Staff Enterprise Security Engineer, where you will be a technical leader in the EntSec team, responsible for the foundational security posture of the organization. You will serve as a subject matter expert on the technical strategy and engineering execution for securing the AI ecosystem in the enterprise. Your role will involve architecting and building preventative guardrails, designing secure reference architectures, and collaborating with cross-functional partners to develop long-term roadmaps for AI identity and posture management. You will also act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.

• Serve as a subject matter expert on the technical strategy and engineering execution for securing the AI ecosystem in the enterprise.
• Design and implement secure reference architectures for Enterprise AI platforms, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.
• Collaborate with cross-functional partners to develop and set the long-term roadmap for agentic AI identity and posture management, ensuring cohesive strategies for reducing risk from agentic AI use.
• You will need a background in security engineering and the cross-functional influence necessary to solve ambiguous, large-scale problems
• Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply
• Proven track record of designing and deploying complex security systems at scale
• 2+ years of experience leading teams in a technical capacity/staff engineering capacity at an enterprise
• 7+ years of experience in security engineering or infrastructure security
• Strong proficiency in programming languages such as Python, Go, or Java
• Expertise in cloud security (AWS, GCP) and container security (Kubernetes)
• Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders
• Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools