Principal Agentic AI Engineer (T5)

OverviewWorking across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.ResponsibilitiesV2X is seeking an accomplished Principal Agentic AI Engineer (T05) to join our Software Department in Indianapolis, Indiana.The ideal candidate embraces modern AI‑driven development processes and engineering techniques that accelerate capability delivery, improve mission effectiveness, and enhance team productivity. They have experience designing, building, and integrating advanced agentic systems, including autonomous decision-support frameworks, intelligent mission planning tools, adaptive control systems, multi‑sensor fusion pipelines, and AI-enabled situational awareness technologies. We are looking for engineers who enjoy tackling complex, emerging challenges and have a passion for supporting our DoD customers and international partners.The Principal Agentic AI Engineer provides technical leadership across the full system development lifecycle, from conceptual architecture and requirements definition through model development, agentic workflow design, simulation, verification, validation, and final deployment. The role requires strong communication skills, collaborative problem‑solving, and the ability to translate complex mission needs into practical, advanced AI solutions.QualificationsEducation Requirements:Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.Required Skills:Must be a U.S. Citizen with the ability to obtain a DoD Secret ClearanceAt least 12 years of related engineering experience in systems, software, or hardware engineering.Deep expertise in designing and implementing agentic AI architectures and autonomous decision-making systemsStrong proficiency in modern machine learning techniques, including model development, evaluation, and optimizationExperience building reasoning, planning, and multi-step workflow automation using AI agentsAbility to design and evaluate autonomous behaviors, control logic, and adaptive system responsesSkilled in developing scalable AI pipelines, simulation frameworks, and experimentation environmentsStrong understanding of safety, reliability, and assurance considerations for AI-driven systemsProficiency with Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)Ability to translate mission objectives and operational constraints into technical system requirementsExperience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handlingStrong analytical problem-solving skills and ability to lead complex technical effortsExcellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholdersFamiliarity with distributed systems, cloud platforms, or edge compute environments for model deploymentAbility to guide junior engineers, provide technical mentorship, and set engineering directionDesired Skills:Experience developing multi-agent systems or orchestrating large-scale agentic workflowsBackground in autonomous systems engineering, robotics, or intelligent controlFamiliarity with reinforcement learning, planning algorithms, or neuro-symbolic techniquesKnowledge of mission data pipelines, sensor fusion, or real‑time decision-support systemsExperience with high-assurance or safety-critical AI development practicesProficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testingUnderstanding of human‑machine teaming concepts and explainable AI practicesExperience deploying AI models on edge compute platforms or constrained environmentsFamiliarity with model governance, ML Ops, or lifecycle management toolsPrior DoD, aerospace, or defense industry experience supporting mission-driven AI solutionsAbility to contribute to technical roadmaps, architecture definitions, and long-term AI strategySecurity Clearance and Other RequirementsAbility to access systems with information restricted to U.S. citizens as required by federal contract guidelines.Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.#LI-CB2#clearanceBenefits include the following:Healthcare coverageRetirement planLife insurance, AD&D, and disability benefitsWellness programsPaid time off, including holidaysLearning and Development resourcesEmployee assistance resourcesPay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.