AI Expeditionary Principal Investigator

CACI International • Denver, CO

1d • $108,400 - $227,500 • Onsite

About The Position

CACI's Mission & Engineering Support line of business is building an AI Expeditionary Team to help programs and customers move from AI curiosity to operational AI capability. The AI Expeditionary Principal Investigator is a hands-on AI practitioner and trusted technical advisor to the division's AI & Technology Integration Lead.

The role bridges program needs and technology teams by visiting customer sites, understanding customer needs, assessing where AI can add value, demonstrating capabilities, and bringing findings back to the company to inform roadmaps, estimates, and team formation. The successful candidate contributes to broader customer strategies, including plans, team structures, and transition paths that turn prototypes into lasting capabilities.

The position works within the division's technology roadmap, which includes AI-enabled intelligence analysis and operations; ship digital twins; unmanned systems development and integration; AI-enabled model-based systems engineering; computer vision for full-motion video; AI-enabled geospatial and training solutions; and modernization of training academies using advanced RAG and agentic pipelines. The role also helps shape CACI's AI Transformation Framework and the AI Expeditionary Team.

Requirements

• U.S. citizenship and the ability to obtain and maintain a U.S. Government Top Secret SCI security clearance.
• Bachelor's degree in computer science, data science, statistics, mathematics, engineering, or another technical discipline; an equivalent combination of education and experience may be considered.
• Typically 7 or more years of related experience with a bachelor's degree, 5 or more with a master's degree, or 3 or more with a doctorate.
• Demonstrated experience as a technical lead, principal investigator, lead architect, or comparable role with responsibility for technical scope, delivery, and outcomes.
• Deep, hands-on experience building generative AI systems, including LLM applications, retrieval-augmented generation (RAG), and agentic workflows, plus a solid foundation in applied machine learning and evaluation methods.
• Experience leading customer-facing discovery or assessment work, engaging stakeholders, eliciting and documenting technical requirements, and turning them into a clear plan.
• Strong Python skills and experience with modern AI/ML tooling such as PyTorch, Hugging Face, scikit-learn, LangChain/LangGraph, or comparable frameworks.
• Experience delivering integrated systems, including APIs, data services, cloud deployment, and testing, rather than only standalone models.
• Excellent written and verbal communication skills, including the ability to brief non-technical audiences, customers, and senior leaders and turn requirements discussions into clear technical plans.
• Project management skills sufficient to plan and run small multi-person efforts, work independently, and lead through influence.
• Willingness to work on site at DTC and travel to customer sites, including extended visits.

Nice To Haves

• A master's degree or doctorate.
• Active Top Secret SCI clearance and experience delivering capabilities for the Department of Defense, Intelligence Community, or other U.S. Government customers.
• Experience building rough-order-of-magnitude estimates and staffing plans for technical efforts and contributing to proposals or technical volumes.
• Experience transitioning prototypes into production or operational use, particularly in secure or classified environments.
• Experience with model adaptation or fine-tuning, LLM evaluation, red-teaming, and AI safety or guardrails.
• Familiarity with AWS or other cloud platforms, containers such as Docker and Kubernetes, CI/CD, and graph, vector, or relational databases.
• Exposure to AI-enabled training and content generation, computer vision, geospatial analytics, digital twins, or model-based systems engineering.
• Experience in Agile and DevSecOps environments, adapting processes appropriately for exploratory work.
• Evidence of broader impact, such as patents, publications, conference talks, reusable platforms, or internal communities of practice.

Responsibilities

• Serve as a hands-on AI practitioner and trusted technical advisor to the division's AI & Technology Integration Lead.
• Visit customer sites, engage stakeholders, assess where AI can add value, and demonstrate potential capabilities.
• Translate customer and program needs into technical plans and bring findings back to inform company roadmaps, estimates, and team formation.
• Shape customer strategies, team structures, and transition paths for turning prototypes into lasting capabilities.
• Help shape CACI's AI Transformation Framework and the AI Expeditionary Team.

Benefits

• Flexible time off benefit.
• Learning resources and learning and development opportunities.
• Competitive compensation.
• Healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior