Staff Enterprise Security Engineer, AI Security

Details

• Design and implement secure reference architectures for Enterprise AI platforms that secures every Twilion’s engagement with them, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.
• Establish a definitive framework for AI vetting, driving the cultural and policy shifts needed to institutionalize this strategic mindset across the organization.
• 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.
• Maintain and improve our enterprise security posture through high-quality code (Python, Go, or similar) and automated infrastructure management via IAC.
• Act as a technical mentor to junior engineers and a strategic advisor to leadership on the evolving AI landscape.
• 7+ years of experience in security engineering or infrastructure security
• 2+ years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.
• Expertise in cloud security (AWS, GCP) and container security (Kubernetes).
• Proven track record of designing and deploying complex security systems at scale.
• Strong proficiency in programming languages such as Python, Go, or Java.
• Experience in building, deploying and reviewing automation for complex security workflows, including use of both AI-driven and traditional automation tools.
• Excellent communication skills with the ability to explain complex AI security risks to non-technical stakeholders.