Security-Cleared AI Systems Engineer

KBR Careers; Chantilly (VA); On-site; USD 153,000 - 191,000; Full time

Benefits offered by this job

401K plan with company match

Medical, dental, vision

Life insurance

Flexible spending account

Paid time off

Flexible work schedule

Job summary

KBR is seeking an AI Systems Engineer in Chantilly, VA to design, prototype, and deploy AI/ML solutions for USG programs. You will leverage large datasets to build training corpora, RAG knowledge bases, and production-ready tools while guiding government teams on model lifecycle, security, and governance.

The role combines hands-on prototyping with strategic advisory, requiring strong Python/R skills and experience with LLM frameworks, and a focus on national security AI enablement.

Qualifications

• Active TS/SCI clearance with polygraph.
• Bachelor’s degree with 5+ years of relevant experience; Master’s with 3+; PhD with 0+ years.

Responsibilities

• Shape and define the AI/ML roadmap for the Government office.
• Build proof-of-concept models using LLMs and advanced analytics.
• Work with massive enterprise datasets to create training corpora and RAG knowledge bases.
• Scout commercial tech, academia, and open-source for breakthroughs.
• Draft statements of work and define system integration requirements for external contractors.
• Provide SETA advisory evaluating proposals, designs, and deliverables.

Skills

AI/ML concepts

NLP

Statistical modeling

Python

R

llama.cpp

LangChain

Hugging Face

data analytics

communication

Education

Bachelor’s degree

Master’s degree

PhD

Tools

Python

R

llama.cpp

LangChain

Hugging Face

Job description

KBR is seeking an AI Systems Engineer in Chantilly, VA to design, prototype, and deploy AI/ML solutions for USG programs. You will leverage large datasets to build training corpora, RAG knowledge bases, and production-ready tools while guiding government teams on model lifecycle, security, and governance.

The role combines hands-on prototyping with strategic advisory, requiring strong Python/R skills and experience with LLM frameworks, and a focus on national security AI enablement.