Arlington, Virginia, United States; Pittsburgh, Pennsylvania, United States; RemoteRemote
Posted May 5, 2026
Scope of Responsibilities
Develop AI/ML/DS systems to address defense problems. - Develop new AI-based stack of technologies for particular customer needs. - Development of evaluation solutions for AI deployments. - Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery. - Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems. - Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions. - Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem. - Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team. - Mentor and guide other team members, fostering a culture of technical excellence, continuous learning, and high-impact work. - Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools. ### Qualifications
U.S. Citizenship is required
Required Skills:
Oversee the full lifecycle of AI projects within Govini AI ecosystem. - Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries
Ensure timely project delivery and strategic goal alignment. - Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development). - Define robust software architecture for AI systems and project roadmaps. - Translate high-level AI system requirements into actionable technical plans. - Deliver production-ready AI solutions integrated with clients data platforms and workflows. - Drive the implementation of scalable AI/ML platforms. - Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
Champion innovation and best practices across the organization. - Mentor and coach team members. - Foster a high-performing culture of technical excellence and continuous growth. - Demonstrate strong National Security domain knowledge. Desired Skills:
A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas
Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
Experience in LLM posttraining or fine tuning
Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure). - Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
