AI Battle Management Lead

Duties and Responsibilities

• Set the technical vision and roadmap for AI-enabled battle management systems, aligning GA-ASI autonomy solutions with DoD Joint All-Domain Command and Control (JADC2) and Collaborative Combat Aircraft (CCA) initiatives.
• Lead cross-functional engineering teams in developing and integrating multi-agent autonomy, real-time decision-support, and adaptive mission planning capabilities.
• Serve as principal investigator and program lead for advanced R&D efforts in AI/ML for battle management.
• Interface directly with senior government customers, DARPA, AFRL, and DIU to translate mission needs into executable autonomy architectures.
• Provide capture and proposal support, including shaping technical volumes, white papers, and executive-level presentations.
• Partner with industry and academic collaborators to bring cutting-edge AI research into operational prototypes.
• Establish best practices for DevSecOps, MLOps, and mission assurance in autonomy software development.
• Guide testing and evaluation strategies, including simulation, SIL/HIL, and flight demonstrations of AI-driven battle management capabilities.
• Mentor and grow technical talent across the autonomy and AI teams.
• Ensure compliance with ITAR, export control, cybersecurity, and DoD acquisition regulations

Qualifications

• Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or related discipline and progressive software development experience as follows; fifteen or more years of experience with a bachelors degree, thirteen or more years of experience with a masters degree, or ten or more years with a PhD. May substitute equivalent experience in lieu of education.
• Demonstrated track record leading development of battle management systems, C2 decision-support, or collaborative autonomy architectures in defense/aerospace.
• Expertise in reinforcement learning, multi-agent coordination, deep learning, probabilistic reasoning, and decision-theoretic planning.
• Strong customer-facing experience: ability to present to senior DoD stakeholders, influence CONOPS development, and shape technology roadmaps.
• Proven success in capture and proposal efforts, including technical volume authorship and program strategy.
• Strong leadership, communication, and interpersonal skills to inspire teams and build trusted relationships with customers.
• Hands-on expertise in:
• Languages: Python, C++, Java, or equivalent
• Frameworks: PyTorch, TensorFlow, Ray RLlib, or equivalent
• Data/AI Tools: Scikit-learn, Pandas, NumPy, JAX
• Simulation/Integration: NTGS, AFSIM, or similar
• Cloud/DevOps: Kubernetes, Docker, AWS/Azure GovCloud
• MLOps/DevSecOps: MLflow, GitLab CI/CD, secure software pipelines

Job Qualifications

• Ability to obtain and maintain a Top Secret / SCI security clearance is required (active clearance strongly preferred).