Title:
Artificial Intelligence Practitioner
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.
Trinzic is the future independent company to be created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.
Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.
Candidates who join KBR's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.
Job Summary
KBR is seeking experienced practitioners of artificial intelligence (AI) to design and develop AI courses in support of our DoW customers. We are looking for an experienced practitioner who can train, fine-tune, diagnose, and compare neural-network models because the current team has strong AI application and integration capability but limited demonstrated depth in hands-on model development, representation learning, and experimental training workflows. An individual who has used AI to change how their organization works. We are looking for individuals who have used these tools every day - and can bring that lived experience into the curriculum we are developing. If you have experience advising leadership, briefing stakeholders, or mentoring staff through technical change, you already have the foundation we need.
Key Responsibilities
- AI Foundations for Government: How modern AI works - machine learning, deep learning, and large language models - explained for a non-technical federal audience; getting useful output and writing effective prompts; recognizing hallucination, bias, and model limitations; verification habits; and using AI safely in government work.
- AI Governance & Oversight: Who sets federal AI policy across the White House, OMB, NIST, Congress, and individual agencies, and how to locate the guidance that binds a given program; OMB M-25-21 on accelerating federal use of AI, M-25-22 on AI acquisition, and related guidance on procured language models; the NIST AI Risk Management Framework and DoW AI accountability principles; and assessing governance maturity.
- AI Ethics & Responsible Use: Fairness, transparency, and accountability applied to real decisions; identifying and responding to bias claims; and the privacy, civil-rights, accessibility, and contestability safeguards that automated decisions affecting the public must meet.
- Critical Thinking & Human Oversight: Evaluating AI output rather than accepting it; prompting as a reasoning skill; knowing which tasks to delegate and which to keep; and keeping human judgment accountable for the result.
- AI Change Management & Leadership: Leading responsible AI adoption in an agency; managing workforce concern and resistance; building AI literacy across a team; and helping people move through the shift in how federal work gets done.
- AI Acquisition & Vendor Risk: Embedding governance requirements into solicitations and contracts; scoping intellectual property and licensing rights to avoid vendor lock-in; evaluating vendor claims and distinguishing attestation from certification from independent evaluation; and building performance and monitoring requirements into the award.
- Data, Security & Information Handling: What can and cannot be put into a model; recognizing, marking, and protecting controlled unclassified information; data classification and records implications; and the security questions to ask before a tool is approved for agency work.
- Hands-On Tools & Platforms: Practical, hands-on expertise with Microsoft Copilot across Microsoft 365, ChatGPT, and other approved assistants.
Work Environment
Location: Remote
Travel Requirements: None
Working Hours: Standard, 40 hours a week
Scheduled Weekly Hours:
40
Basic Compensation:
$163,600-$225,000
The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.
Required Qualifications:
- A minimum of 8 years of professional experience in an uniformed service, federal agency or in direct, sustained support of federal clients - including at least 3 years of hands-on, applied AI work such as deploying, governing, evaluating, procuring, auditing, or systematically using AI, machine learning, or generative AI tools in a professional setting.
- The ability to explain how AI works, and where it fails, to a non-technical federal audience.
- A data science background is welcome but not required; hands-on fluency and sound judgment are.
- Bachelor's degree or higher is required.
- Proficiency with Microsoft Office 365; comfort with Microsoft Teams, and digital communication tools.
- A current, active DoD SECRET clearance is required.
Desired Qualifications:
- Experience design and/or instructing courses - experience leading, training, briefing, advising, or mentoring professionals.
- Direct experience applying current federal AI guidance - OMB M-25-21 and M-25-22, the NIST AI Risk Management Framework, the DoW AI accountability framework, agency AI use case inventories, and high-impact AI determinations - with current knowledge of evolving federal AI policy.
- A relevant credential, such as the IAPP Artificial Intelligence Governance Professional (AIGP), a NIST AI RMF-aligned certificate, CIPP/G, CISSP, CDMP, PMP, or a vendor AI certification from Microsoft, AWS, or Google.
- Prior formal instruction experience with adult professional learners, in classroom or live virtual settings (e.g., agency AI training programs, DoW or agency-sponsored courses, professional association courses, or adjunct teaching of AI content)..
Ready to Make a Difference?
If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together.
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 KBRAt 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.
