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Quality Control Lead (IT IA IM Program/Project Management Level II) - Government
Chantilly, Virginia, United States · On-site
$79k–$203k/yr
Senior+$5.0B raised
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Skills: ITSM Process Compliance, SLA Performance Management, Root Cause Analysis, Audit Governance, Continual Service Improvement
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$153k–$191k/yr
Full-time
bachelor degree, postgraduate degree
401k plan with company match, Medical insurance, Dental insurance, Vision insurance, Life insurance, AD&D insurance
Posted 40d ago
~40 hrs/week
Responsibilities
The AI Systems Engineer will design and deploy cutting-edge AI/ML models, including LLMs, to support national security space architectures. They will also act as a strategic advisor to the government, managing technical roadmaps and overseeing contractor deliverables.
Requirements
Candidates must possess an active TS/SCI with Polygraph clearance and a relevant degree with at least 3-5 years of experience. Strong technical proficiency in AI/ML frameworks, Python, and enterprise data analysis is required.
Full 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
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or 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.
Related keywords
AI Systems EngineerMachine LearningLLMPythonRLangChainHugging FaceRAGNLPPredictive AnalyticsData EngineeringSystems EngineeringSETATS/SCIPolygraphNational Security
We deliver science, technology and engineering solutions for the world’s toughest challenges. We do things that matter.
Industry
IT Services and IT Consulting
Company size
10,001+ employees
Headquarters
Houston, Texas
LinkedIn followers
868,959
At KBR, we deliver science, technology and engineering solutions that are helping governments and companies around the world take on the great challenges of our time. Follow @KBRCareers for opportunities, updates and a closer look at how We do things that matter.
Offices: 601 Jefferson, Houston, Texas 77002, US · Aberdeen Proving Ground, Maryland 21005, US · Albuquerque, New Mexico, US · Ann Arbor, Michigan, US · Beaver Creek, Ohio, US
EngineeringAerospaceDefenseProfessional Services TechnologyConsultingProject ManagementOperations and MaintenanceProgram Management Energy
How much do Data & Analytics jobs in Chantilly, VA pay?
Based on 226 listings with disclosed salaries, most data & analytics jobs in Chantilly, VA pay between $94k–$225k per year. Individual offers vary with seniority, company size, and specialization.
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There are currently 294 open data & analytics positions in Chantilly, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Chantilly, VA?
Companies currently hiring include Booz Allen Hamilton, GCI Incorporated, CACI International Inc, SAIC, KBR, Inc., among others. Browse the listings above to see every active employer.
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