AI Systems Engineer

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

Benefits offered by this job

401K plan with company match

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Paid time off

Flexible work schedule

Job summary

KBR, Inc. seeks an AI Systems Engineer to provide vital technical services to the U.S. Government.

This role involves shaping AI and Machine Learning initiatives for national security, utilizing enterprise datasets for prototype models and advising on best practices. The ideal candidate will have a background in AI, demonstrated prototyping experience, and the ability to communicate complex topics clearly. Competitive compensation and comprehensive benefits are offered, including a 401K plan and

Qualifications

• Active TS/SCI clearance required.
• Strong foundations in AI/ML concepts necessary.
• Experience with prototypes in the context of financial modeling is preferred.

Responsibilities

• Shape and define the AI/ML roadmap for government clients.
• Design proof-of-concept models for AI applications.
• Work with enterprise datasets for data curation.

Skills

AI/ML concepts

Natural language processing

Statistical modeling

Prototyping using Python/R

Communication of technical concepts

Working with complex datasets

Education

Bachelor's degree with 5+ years experience

Master's degree with 3+ years experience

PhD with 0+ years experience

Tools

Python

R

LLM frameworks

Job description

Title:

AI Systems Engineer

KBR is seeking a visionary AI Systems Engineer to join our team, providing critical technical services to the U.S. Government (USG). This role supports a dedicated USG Program Office, in shaping, designing, and deploying cutting-edge AI and Machine Learning (AI/ML) initiatives for national security space architectures.

Position Overview

As an AI Systems Engineer, you will serve as both a hands-on technical architect and a strategic advisor. You will leverage the Government customer's massive enterprise datasets, spanning complex program budgets, scheduling, and financials, to build proof-of-concept models (including Large Language Models and financial predictive tools). You will lead the evolution of the AI roadmap by identifying cutting-edge commercial technologies and directing successful prototypes into robust, production-ready enterprise tools.

Responsibilities

• Strategic LLM Initiatives: Help shape and define the AI/ML roadmap for the Government customer office. Guide the government on how to securely build, adopt, govern, and maintain foundation models and custom LLMs across sensitive environments, ensuring robust model lifecycle management.
• Rapid Prototyping: Design and build hands-on, high-impact proof-of-concept models. This includes training, fine-tuning, and leveraging Large Language Models (LLMs) for search, summarization, and business intelligence, as well as developing advanced financial, budget, and scheduling analysis models.
• Data Exploitation: Work directly with massive, unstructured and structured enterprise datasets (financials, acquisition timelines, schedules, program execution metrics). Clean, curate, and pipeline this data to create high-quality training corpora, instruction-tuning datasets, and knowledge bases for Retrieval-Augmented Generation (RAG) to discover trends, anomalies, and optimization opportunities
• Technology Curation & Scouting: Actively scout the commercial tech sector, academia, and open-source communities for breakthroughs in generative AI, NLP, and predictive analytics. Curate a pipeline of high-performing external groups and technologies for USG consideration.
• Contractor & Vendor Management: Formulate technical recommendations, draft statements of work, and establish the system integration requirements needed to bring external contractors on board to scale and operationalize your prototypes.
• Technical SETA Advisory: Provide objective technical evaluation of contractor proposals, designs, and deliverables to ensure they align with government AI safety, security, and performance standards. This includes overseeing LLM red-teaming, bias testing, hallucination mitigation, and ongoing alignment evaluations.

Work Environment

• Location: On-Site (Chantilly, VA area)
• Travel Requirements: Minimal (0-20%)
• Working Hours: Standard

Required Qualifications

• Clearance: Active TS/SCI with Polygraph.
• Education & Experience:
  • Bachelor's degree with 5+ years of relevant experience,
  • Master's degree with 3+ years of relevant experience, or
  • PhD with 0+ years of relevant experience.
• Technical Skills: Strong foundations in AI/ML concepts, natural language processing (NLP), and statistical modeling.
• Prototyping Experience: Demonstrated experience building prototypes using Python, R, or similar tools, specifically with frameworks related to LLMs (e.g., llama.cpp, LangChain, Hugging Face) or data analytics.
• Analytical Skills: Experience working with complex enterprise datasets (e.g., financial, resource planning, schedule networks, or programmatic data).
• Communication: Exceptional ability to translate highly technical AI concepts such as LLM training methodologies, RAG architecture, model alignment, and corpus curation into strategic, actionable business recommendations for non-technical executives and government leaders. This includes clearly articulating the compute costs, security risks, data provenance, and ongoing maintenance requirements involved in building versus adopting language models.

Desired Qualifications

• Financial & Schedule Modeling: Experience applying ML or advanced statistical modeling to predictive financial analysis, budget execution, risk modeling, or project scheduling.
• Enterprise AI Deployment: Understanding of the challenges of deploying AI/ML models in high-security, air-gapped government cloud environments (e.g., AWS C2S).
• Technology Scouting: Prior experience in technology scouting, venture capital technical vetting, or acting as an industry-to-government technology transition agent.
• Acquisition Support: Familiarity with the DoD/IC acquisition lifecycle, systems engineering processes, and SETA advisory roles.

Basic Compensation

$152,600 - $190,700

This range is for the Virginia area only

The offered rate will be based on the selected candidate's work location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.

KBR Benefits

• 401K plan with company match
• medical
• dental
• vision
• life insurance
• AD&D
• flexible spending account
• disability
• paid time off
• flexible work schedule

We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.