AI Engineer (Agentic AI) - Secret cleared

Role overview Build and productionize generative AI agents for mission-critical analytics in a secure government cloud environment. The work centers on prompt and agent design for multi-agent simulations, with ongoing evaluation and tuning so outputs remain useful, realistic, and dependable as needs evolve.

Responsibilities - Develop, test, and refine prompts for agents operating in multi-agent simulation settings. - Integrate agent workflows with a cloud-based generative AI platform and tune for performance and cost. - Assess generated outputs with statistical methods and feedback from subject-matter experts. - Improve agent reliability and realism as new use cases and mission requirements arise.

Requirements - U.S. citizenship and an active Secret clearance. - Bachelor’s degree in computer science, data science, or a related field, or equivalent practical experience such as four additional years of relevant work. - Applied AI or machine learning engineering experience, including production prompt engineering or agentic system design. - Hands-on experience with large language model APIs and the cost and performance considerations of scaling their use. - Proficiency with version control tools such as Git. - Ability to work full time on-site in the Washington, D.C. area.

Nice to have Experience with mathematical or linear optimization, multi-agent modeling, a data integration and analytics platform used in government settings, or healthcare, clinical, or defense analytics is preferred.

Benefits and work setup The role is full time and on-site in the Washington, D.C. area. The source lists a base pay range of $89,000–$170,200 for specified U.S. jurisdictions; compensation varies by location, skills, experience, and role factors.