• Define, build, and refine mechanisms to secure AI systems (including self-hosted models, LLM APIs, agents, MCPs, and other core components of the AI stack) against adversarial behavior of all kinds • Understand technically complex AI systems, identify potential weaknesses in their architecture, and implement improvements • At least 50% of time performing hands-on remediation. Also working closely with peer engineers to drive remediations • Plan and carry out threat modeling activities and realistic threat simulations across our offerings • Conduct cybersecurity evaluations and lead AI security assessments in a cross-functional environment • Develop initiatives that improve our capabilities to effectively evaluate AI systems and enhance the organization's prevention, detection, response, and threat hunting capabilities • Provide guidance and education to developers to help deter and prevent threats