Principal Agentic AI Engineer (T5)

V2X•Indianapolis, IN

1d•Onsite

About The Position

V2X 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.

Requirements

Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
At 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 systems
Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
Experience building reasoning, planning, and multi-step workflow automation using AI agents
Ability to design and evaluate autonomous behaviors, control logic, and adaptive system responses
Skilled in developing scalable AI pipelines, simulation frameworks, and experimentation environments
Strong understanding of safety, reliability, and assurance considerations for AI-driven systems
Proficiency 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 requirements
Experience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handling
Strong analytical problem-solving skills and ability to lead complex technical efforts
Excellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholders
Familiarity with distributed systems, cloud platforms, or edge compute environments for model deployment
Ability 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.

Nice To Haves

Experience developing multi-agent systems or orchestrating large-scale agentic workflows
Background in autonomous systems engineering, robotics, or intelligent control
Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic techniques
Knowledge of mission data pipelines, sensor fusion, or real‑time decision-support systems
Experience with high-assurance or safety-critical AI development practices
Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
Understanding of human‑machine teaming concepts and explainable AI practices
Experience deploying AI models on edge compute platforms or constrained environments
Familiarity with model governance, ML Ops, or lifecycle management tools
Prior DoD, aerospace, or defense industry experience supporting mission-driven AI solutions

Responsibilities

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.
Designs, builds, and integrates 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.
Translates complex mission needs into practical, advanced AI solutions.
Guides junior engineers, provides technical mentorship, and sets engineering direction.
Contributes to technical roadmaps, architecture definitions, and long-term AI strategy.