Principal AI Developer

Markon•Annapolis Junction, MD

8d•$120,000 - $200,000

About The Position

PLEX Solutions, A Part of Markon is looking a motivated Principal AI Software Engineer to support an exciting mission. The Engineer 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. The candidate will work across multiple technical domains including software engineering, data science, machine learning, and large language model (LLM) integration to deliver innovative capabilities from proof-of-concept through operational deployment.

Requirements

Active TS/SCI with Polygraph required
Bachelor's degree in a related technical discipline is required
11-years of relevant experience in software engineering or related skillsets
Proficiency with object-oriented languages (JAVA, Python)
Experience with Jupyter Notebooks

Responsibilities

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.
Proficient in current AI/ML technologies such as classification, clustering, collaborative filtering, search, and retrieval using techniques such as but not limited to deep neutral networks (DNN), recurrent neural networks (RNN), attention-based transformers, etc.
Experience in current large language models (LLM) for representative and generative tasks.