Location: Oak Ridge, TN
Cap-Exempt H-1B Position — No lottery required
Requisition Id 16618 **Overview:** We are seeking a highly motivated Research Engineer who will support agentic AI workflows, AI infrastructure architectures, and AI-native applications for critical infrastructure resilience projects at ORNL. This position resides in the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL). As a Research Engineer, you will contribute to cutting-edge research and development efforts aimed at enhancing the resilience of critical infrastructure systems through AI-enabled decision support, intelligent data agents, retrieval-augmented generation, and scalable machine learning systems. This position offers a unique opportunity to work on interdisciplinary projects in collaboration with leading experts, tackling challenges related to energy, water, cybersecurity, transportation, emergency response, and community resilience. You will have the opportunity to creatively use methods from generative AI, agentic AI systems, computational data science, machine learning, high-performance computing, cloud platforms, and geospatial analytics to help frame and solve these problems on a national and global scale. The successful candidate will work on advancing AI architectures, data pipelines, model evaluation methods, and production-ready applications that improve understanding of critical infrastructure risks, dependencies, and recovery options. Your research will help inform investments in resilient infrastructure; support AI-enabled planning, restoration, and emergency response workflows; accelerate analysis of heterogeneous infrastructure datasets; and deliver trustworthy, secure, and reproducible AI capabilities for mission-driven sponsors. The CIR Group is a part of the Geospatial Science and Human Security Division at ORNL. The CIR group is heavily engaged in modeling risk and resilience of