Principal AI Software Engineer (TS/SCI + Poly) Fort Meade, MD

We are seeking a Principal AI Software Engineer to support the Corporate Directory Services mission. You will work closely with mission stakeholders to lead the development of advanced Artificial Intelligence and Machine Learning (AI/ML) solutions, intelligence mission workflows, and emerging analytic capabilities. This role is responsible for designing, developing, prototyping, and operationalizing AI-enabled applications that automate complex intelligence processes, discover emergent intelligence value, and accelerate mission outcomes.

Mission Focus:

• Collaborate closely with customers to drive the rapid development, evaluation, and transition of AI/ML-enabled mission capabilities that enhance operational analysis and intelligence workflows.
• Leverage emerging technologies, scalable software architectures, and advanced analytics to automate discovery, accelerate insight generation, and deliver production-ready solutions across diverse mission domains.
• Shape technical strategy and best practices to ensure effective deployment, sustainment, and evolution of AI-enabled mission systems.

Technical Proficiency:

• Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques including deep neural networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc.
• Experience with large language models (LLM) for representative and generative tasks.

Qualifications:

• Bachelor’s degree plus 11 years of relevant experience or equivalent.
• Proficiency with object-oriented languages (Java, Python) and experience with Jupyter Notebooks.

Security Clearance: Active TS/SCI with Polygraph required (CCA).

Nice to Have:

• Proficiency in approaches to retrieval augmented generation (RAG), model context protocol (MCP), and other recent technologies supporting agentic AI.
• Foundational knowledge of statistics related to parametric and nonparametric probability distributions, Bayesian analysis, and covariance matrices.
• Proficiency in agentic systems that can automatically carry out mission goals with limited supervision.