Expert AI/ML Analyst

KBR, Inc.•Chantilly, VA

2d•Onsite

About The Position

KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a highly experienced and self-directed Artificial Intelligence / Machine Learning Analyst who can operate at both the strategic and technical levels. This role is ideal for someone who not only understands the “big picture” business and operational challenges, but can also personally architect, build, train, deploy, and refine AI/ML solutions from the ground up. This is not a role for someone who only creates presentations or delegates technical work. We are looking for a builder, innovator, analyst, and problem solver who can independently turn complex problems into working solutions.

Requirements

Active TS/SCI with polygraph clearance required
Minimum 17+ years with a Bachelor’s Degree
Minimum 15+ years with Master's Degree
Senior-to-expert level experience in Artificial Intelligence, Machine Learning, Data Science, or related fields
Strong proficiency in Python, SQL, and modern ML/AI frameworks
Experience with large language models (LLMs), neural networks, predictive analytics, and automation systems
Proven ability to independently develop end-to-end AI/ML solutions
Experience with cloud platforms and scalable AI infrastructure
Strong analytical thinking and systems-level problem-solving skills
Ability to move from concept to implementation with minimal supervision
Excellent communication and documentation skills

Nice To Haves

PhD is preferred
Experience in the Intelligence/Space community
Experience with generative AI and transformer-based models
Familiarity with MLOps, model deployment, and AI governance
Experience integrating AI into operational or enterprise environments
Background in cybersecurity, intelligence analysis, operations research, finance, healthcare, logistics, or other data-intensive industries
Experience leading technical initiatives or mentoring teams

Responsibilities

Analyze organizational, operational, and technical challenges to identify AI/ML opportunities
Design, develop, train, test, and deploy machine learning and AI models
Translate high-level business goals into scalable technical solutions
Work across structured and unstructured datasets to generate actionable intelligence
Build predictive, analytical, and automation systems using modern AI frameworks
Develop prototypes, proofs-of-concept, and production-ready systems
Evaluate existing processes and recommend AI-driven improvements
Communicate technical findings and strategic recommendations to leadership
Stay current with advancements in artificial intelligence, machine learning, LLMs, automation, and data science
Lead or support AI strategy initiatives while remaining deeply hands-on technically