• Lead the design and implementation of secure architectures for Built’s applications, services, and AI/ML initiatives. • Embed security throughout the development lifecycle by partnering with engineering teams on threat modeling, secure coding best practices, and design reviews. • Conduct technical security reviews—including code assessments, dependency analysis, and architectural risk evaluations—to proactively identify and remediate vulnerabilities. • Champion secure and responsible AI usage across Built’s product ecosystem. • Drive security controls that address AI-specific risks such as prompt injection, data poisoning, insecure model integrations, and model-exploitation paths. • Guide engineering and product teams on safe deployment patterns, monitoring, and ongoing validation of AI systems. • Perform internal penetration testing of applications, networks, and features to uncover weaknesses before attackers do. • Support planning and execution of external third-party penetration tests, ensuring findings are triaged and addressed effectively. • Participate in application-security–focused incident response activities, including investigation, containment, and root-cause analysis. • Conduct ongoing security research and maintain awareness of emerging threats, especially those relevant to cloud-native systems and AI/ML technologies. • Mentor engineers and security team members, driving adoption of security-first principles and scalable secure-by-default patterns. • Influence cross-functional teams through technical leadership, helping define security standards, guardrails, tooling, and long-term security strategy. • Promote a culture of high trust, continuous learning, and technical excellence.