• Act as the primary advisor for securing AI/ML workflows, conducting threat modeling for AI product features, and defining guardrails for Large Language Model (LLM) usage • Advise and review on agentic AI usage across the R&D department • Perform security testing and source code review of application and underlying platform for both AI and non-AI systems • Help upskill the wider security and engineering teams on AI security fundamentals and common threats/vulnerabilities • Partner with compliance and legal teams on AI governance decisions and processes • Act as a security partner, building and maintaining relationships with product and engineering teams to integrate security into the development process • Embed security principles and controls to achieve a ‘secure by default’ posture • Secure modern technology stacks that include Kubernetes, Docker, AWS, and CI/CD tooling • Participate in the security engineering on-call rotation to triage and respond to urgent security alerts and incidents outside of standard business hours when necessary