AI/ML Principal Engineer

The AI/ML Principal Engineer partners with data scientists, ML engineers, and intelligence analysts to design, evaluate, and integrate advanced AI/ML capabilities across Military Operational Systems and advance NextGen products and services. This role shapes technical direction, supports government stakeholders, and helps transition cutting-edge models and analytics into operational environments.

· Deliver AI/ML-focused systems engineering expertise to validate technical and operational solutions. · Design and develop AI/ML-based solutions for defense, intelligence, and mission applications. · Contribute AI/ML engineering inputs to acquisition documents (SOWs, specifications, engineering plans, evaluation strategies). · Prepare analysis products and strategic recommendations aligned to government objectives. · Diagnose and resolve AI/ML system challenges to ensure reliability and mission readiness. · Define problem spaces, lead studies, and supervise analytical data collection to support decision-making. · Provide guidance and consultation to cross-functional personnel. · Assist in implementing modern AI/ML frameworks, tools, and software development practices. · Support development and assessment of research and SBIR topics, BOMs, RFPs, and related artifacts. · Communicate progress clearly to leadership and government stakeholders.

· BS in Computer Science or related field; MS/PhD preferred. · 8+ years of relevant experience in AI/ML, applied analytics, or systems engineering. · Demonstrated ability to rapidly learn emerging technologies in evolving mission domains. · Strong problem-solving and analytical skills with the ability to interpret complex, diverse data sets. · Excellent communication and collaboration skills across multidisciplinary teams. · Experience building, optimizing, and maintaining large-scale distributed data pipelines. · Familiarity with a range of ML models and intelligence-analytic use cases. · Understanding of AI/ML system performance factors such as model validation, statistical analysis, and operational constraints. · Foundational knowledge of the intelligence cycle and intelligence data production workflows. · Proficiency in modern algorithms, data science methods, and systems/network security fundamentals. ·Top Secret Clearance (with ability to obtain SCI) preferred. Highly qualified Secret-cleared candidates may also be considered.

Defense / Intelligence / Federal Experience · Experience supporting U.S. Army organizations (e.g., DEVCOM, C5ISR Center, INSCOM, CPE ISW, CPE C2IN, etc.) or similar Military or Intelligence organizations. · Background in DoD or Federal RDT&E environments or government labs. · Familiarity with EW, SIGINT, Cyber, or multi-domain operations/systems. Mission-Aligned AI/ML Experience · Experience applying AI/ML to operational military use cases such as: o Tactical edge AI/ML model deployment on constrained compute environments. o RF analytics, blind signal detection, electronic support/attack workflows, or sensor-tasking automation. o Integrating AI/ML agents with EW/SIGINT payloads, software-defined radios, or vehicle-mounted systems. · Experience developing or integrating models in C5ISR domains—including all-source analytics, cyber intelligence, electronic warfare, signals intelligence, PED, weather analytics, or data fusion. · Familiarity with containerized AI/ML deployment (e.g., GPU-accelerated pipelines, DevSecOps, CI/CD environments) aligned to enterprise architectures. · Background supporting system-of-systems engineering, rapid prototyping, or “quick reaction” capability development for government customers. Technical & Architectural · Understanding of MOSA principles (e.g., CMOSS, VICTORY, MORA) and digital engineering/MBSE practices. · Experience designing or integrating distributed analytics with Army (or similar) cloud or hybrid-edge environments. · Proficiency with data taxonomies, interoperability standards, and mission-data synchronization across tactical and enterprise systems.

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