KBR, Inc

Sustainment Technical Product Specialist

KBR, Inc$133K — $167K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Active DoD Top Secret clearance with SCI eligibility
  • Bachelor’s degree in computer science, software engineering, information technology or related discipline
  • 10+ years of experience in Sustainment Test and Evaluation activities for complex systems
  • Experience with military SATCOM systems like Milstar, AEHF, EPS, GBS
  • Familiarity with AI/ML or generative AI products
  • Strong expertise in Agile methodologies including Scrum/Kanban
  • Experience managing cross-functional teams and coordinating dependencies across stakeholders

Responsibilities

  • Develop and maintain a practical roadmap for AI and AI/ML evaluation capabilities
  • Conduct applied learning in AI/ML and convert learning into usable artifacts
  • Design and maintain evaluation harnesses for AI applications
  • Define evaluation claims and acceptance criteria for AI systems
  • Evaluate AI system performance and failure modes
  • Instrument AI systems for failure diagnosis and regression analysis
  • Document findings of adversarial assessments and relevant mitigations

Benefits

  • 401K plan with company match
  • Medical, dental, and vision insurance
  • Life insurance and AD&D coverage
  • Flexible spending account and disability insurance
  • Paid time off and flexible work schedule
  • Career advancement through professional training and development
Full Job Description

Title:

Sustainment Technical Product Specialist

KBR (formerly LinQuest) is the prime contractor on the Military Satellite Communications (MILSATCOM) Systems Engineering, Integration and Test (MSEIT) contract.

KBR is seeking a highly-skilled, motivated and proactive teammate to support Mission Delta 8 (MD8), 8th Sustainment Squadron (8STS) located at Peterson Space Force Base (PSFB), CO. We conduct operations and sustainment (O&S) activities for state-of-the-art Military and Commercial Satellite Communications (SATCOM) and Nuclear Command, Control and Communications (NC3) systems, providing global secure, survivable and protected communications for our Nation’s warfighters.

We are looking for an experienced, dynamic and effective Sustainment Technical Product Specialist for a front-facing role within the Government System Program Office to effectively develop and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions across the MILSATCOM & NC3 O&S portfolio. The ideal candidate will bring their innovative skills and passion to identify where AI-enabled workflows can bring measurable value to the portfolio, prototype those capabilities using modern tools and repeatable workflows, and build the evaluation and verification discipline needed to make those capabilities trustworthy for fielding. The role spans the full capability lifecycle: discovering relevant mission use cases, building practical prototypes and evaluation assets, assessing operational fitness and failure modes, and transferring knowledge to the broader engineering team through documentation, briefings, and mentoring. This position is intentionally scoped to reflect a high-autonomy engineer who can independently research emerging practices, convert learning into usable artifacts, and align AI capability development with mission needs, engineering rigor, and leadership decision-making. This position will be joining our high-functioning, high-performing MSEIT Sustainment IPT and be an important part of directly and positively affecting warfighter readiness as they employ US Space Force (USSF) systems worldwide in support of full spectrum military operations.

Key Responsibilities

Duties and Responsibilities include, but are not limited to:

• Develop and maintain a practical roadmap for agentic AI and AI/ML evaluation capabilities that can be applied to the MSEIT Sustainment Test and Evaluation effort

• Conduct structured applied learning in AI/ML, LLMs, RAG, agents, evaluation frameworks, tracing, safety, reliability, and related software practices; convert learning into usable artifacts

• Design, build, and maintain evaluation harnesses for LLM-enabled and agentic AI applications, including golden test sets, rule-based and model-based graders, human-validated scoring approaches, CI-integrated regression gates, and evidence packages

• Define evaluation claims, measures, acceptance criteria, datasets, rubrics, test conditions, traces, and readiness evidence for AI-enabled systems

• Evaluate not only what an AI system says, but what it does, how it does it, what authority it exercises, and what happens when it deviates

• Instrument AI systems with distributed tracing and observability practices to support failure diagnosis, drift detection, regression analysis, and black-box evaluation in constrained environments

• Conduct adversarial and resilience-oriented assessments of agentic systems, including prompt injection, goal hijacking, tool misuse, memory poisoning, and related failure modes; document findings and mitigation outcomes

• Help distinguish AI-system failure from test-case defects, evaluator defects, environment failures, configuration problems, and insufficient evidence

• Translate reproducibility, auditability, evaluation integrity, resilience, operational recovery, safety assurance, and human oversight into testable engineering requirements and practical contract guidance

• Map established T&E practices to AI evaluation and create roadmaps, playbooks, demonstrations, templates, and guidance that help other engineering and test personnel extend their skills into the AI domain

• Identify mission-relevant AI/ML use cases and provide evidence-based recommendations concerning value, limitations, risk, readiness, and operational implications

• Produce error taxonomies, technical reports, executive briefings, reference material, and decision-quality evidence for leadership and engineering stakeholders

• Coordinate with systems engineering, software, cybersecurity, data, product, program, and customer stakeholders to ensure evaluations reflect mission context and operational risk

Work Environment:

Location: On-Site Peterson Space Force Base, Product Support Facility (PSF), Bldg. 2025. 1050 E. Stewart Ave., Colorado Springs, CO 80914

Travel Requirements: less than 20%

Working Hours: Standard

Minimum Qualifications:

Active DoW Top Secret clearance with SCI eligibility

• Bachelor’s degree in computer science, software engineering, information technology or related discipline

• 10+ years of experience in planning, executing, or leading Sustainment Test and Evaluation activities for complex systems in a defense, government, or other high-consequence environment

• Experience in defense, government, or other high-security/regulatory environments, working with military and DoW civilians

• Demonstrated experience working with military SATCOM systems, such as Milstar, AEHF, EPS, GBS

• Familiarity working on AI/ML or generative AI products, including exposure to LLMs, prompt engineering, or RAG-based solutions

• Familiarity with integrating AI solutions into enterprise systems, data platforms, and APIs

• Strong expertise in Agile methodologies (Scrum/Kanban), including leading sprint planning, backlog refinement, daily standups, and sprint reviews

• Hands-on experience managing backlogs, epics, and user stories using Azure DevOps, Jira, and Confluence

• Exposure to product ownership, technical product management, or program/project management

• Experience tracking delivery progress, managing risks, and ensuring timely delivery of product milestones

• Proven ability to define product vision, roadmap, and detailed use cases aligned to business and mission objectives

• Demonstrated ability to translate complex technical concepts (AI/ML, APIs, cloud systems) into clear, actionable product requirements

• Experience managing cross-functional teams and coordinating dependencies across engineering, data, and business stakeholders

• Strong stakeholder management skills, including requirements gathering, prioritization, and executive-level communication and reporting

• Possess a cyber security certification such as CompTIA Security+ and/or CompTIA A+

Desired Qualifications:

• Familiarity with cloud platforms (e.g., Azure) and modern application architectures, including APIs and containerized environments

• Proven ability to define success metrics, support testing/validation, and oversee release planning and quality assurance

• Strong facilitation skills for backlog grooming, prioritization workshops, and stakeholder reviews

• Exposure to DevOps practices, CI/CD pipelines, and cloud-native deployment environments

• Understanding of the Software Development Life Cycle (SDLC), from ideation through deployment and sustainment

• Possess International Council of Systems Engineering (INCOSE) certification (e.g., CSEP, ESEP)

• Agile certifications such as Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or SAFe Product Owner/Product Manager

Additional Information:

This position is 100% onsite with the government customer given mission and contract requirements and, as such, is not eligible for full remote or hybrid work options.

Basic Compensation: $133,000-$167,000 in Colorado Springs

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

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.

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.

About KBR, Inc

KBR, Inc is an American engineering, procurement, and construction company headquartered in Houston, Texas. The company provides services to customers in the energy, chemical, and government sectors, among others. KBR has a global presence, with operations in over 40 countries. The company was founded in 1901 as M.W. Kellogg Company and has undergone several name changes and mergers since then. KBR is committed to delivering innovative and sustainable solutions to its customers while also being a responsible corporate citizen.
Learn more about KBR, Inc
Size
28,000 employees
Market Cap
$7.1 billion
Industry
Net Income
-$72 million
Founded
1919
5 Year Trend
+11.5%
Revenue
$5.7 billion
NASDAQ

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