Sustainment Technical Product Specialist

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to customers in the intelligence and national security communities. In this position, your work will have a profound impact on protecting national security.

KBR (formerly LinQuest) is the prime contractor on the Military Satellite Communications (MILSATCOM) Systems Engineering, Integration and Test (MSEIT) contract. We are 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. This role conducts 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 warfighters.

About the role

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 develop and implement Artificial Intelligence (AI) and Machine Learning (ML) solutions across the MILSATCOM & NC3 O&S portfolio. The ideal candidate will identify where AI-enabled workflows can bring measurable value, prototype capabilities using modern tools, and build evaluation and verification discipline to ensure trustworthy fielding.

The role spans the full capability lifecycle: discovering mission use cases, building 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 reflects 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 join a high-functioning MSEIT Sustainment IPT, directly impacting warfighter readiness as they employ US Space Force (USSF) systems worldwide in support of full-spectrum military operations.

Responsibilities

• Develop and maintain a practical roadmap for agentic AI and AI/ML evaluation capabilities applicable 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 to 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.

Requirements

• Active DoD Top Secret clearance with SCI eligibility.
• Bachelor’s degree in computer science, software engineering, information technology, or a 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 DoD 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.
• Cybersecurity certification such as CompTIA Security+ and/or CompTIA A+.

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.
• 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.

Work Environment

Location: On-Site at 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.

Pay

Basic compensation: $133,000–$167,000 in Colorado Springs. The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and experience, and in consideration of internal parity.

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 coverage.
• Paid time off or flexible work schedule.

We support career advancement through professional training and development.