U.S. Data Security ('USDS') is a standalone department of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and user data in the U.S., so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. This role resides within the USDS FUSE Intelligence program, an all-hazards team that develops products and services with action-based outcomes to reduce and identify risk to TikTok USDS. As an AI and Security Process Engineer focused on Agentic Systems on the USDS FUSE Intelligence team, you will be at the forefront of designing, building, and deploying sophisticated AI agents that can reason, plan, and execute complex tasks in support of a mature security organization defending the data of millions of TikTok users. You will work with Large Language Models (LLMs) and agentic frameworks to build solutions that automate workflows, solve intricate security problems, and interact with digital environments dynamically. This role requires a unique blend of strong software engineering skills, deep LLM knowledge, and a creative vision for building autonomous systems that support complex security and analytic processes. The ideal candidate will possess the skills to execute the roles and responsibilities described below and would optimally have either experience working in a mature cyber security operations space or familiarity with systems integration, business process development, or other experience developing AI or automation enabled solutions to complex analytic and process problems. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.