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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ground Enterprise Senior Systems Engineer - **Company:** Arcfield, Inc. - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $135,036 - $234,801 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Collaborative Software, Signals Intelligence, Information Engineering, Geospatial Intelligence, Machine Learning, Systems Development Life Cycle, Software Requirements Analysis, Systems Modeling Language, Systems Integration, Tableau (Software), Cloud Platform System, Information Technology, Atlassian Tools, Performance Monitor, Devsecops - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9314753/ground-enterprise-senior-systems-engineer ## About the Role * Active TS/SCI clearance with polygraph; must be able to maintain the required clearance. * Bachelor's degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field, plus 10-12 years of relevant professional experience; master's degree plus 8-10 years; or PhD plus 5-7 years. * Experience supporting systems engineering activities across the engineering "V" model and full system development life cycle. * Hands-on experience developing SE artifacts such as Systems Engineering Plan (SEP), Test and Evaluation Master Plan (TEMP), and DE, Agile, DevSecOps guidance and implementation plans. * Experience with requirements development, traceability, interface definition, architecture analysis, and technical baseline management. * Familiarity with AI/ML concepts and integration of AI-enabled capabilities within complex mission, intelligence, defense, or enterprise systems. * Working knowledge of Agile/SAFe methodologies, collaboration tools such as Jira and Confluence, and system performance metrics using Tableau. * Strong written and verbal communication skills, including the ability to develop and present clear technical recommendations. Desired: * INCOSE, Cameo, SysML, UAF, Agile, or other relevant systems engineering certification. * Experience supporting a Chief Architect organization, Systems Engineering and Technical Assistance (SETA), Systems Engineering Integration and Test (SEIT), or government acquisition organization. * Experience with intelligence-community, space, cyber, GEOINT, SIGINT, OPIR, radar, electro-optical, or other mission-critical systems. * Experience with cloud architectures, digital engineering ecosystems, data engineering, or AI/ML deployment in secure environments. ## Description Arcfield is seeking a Ground Enterprise Senior Systems Engineer to support the Chief Architect (CA) Office in defining, analyzing, and evolving complex mission and ground enterprise architectures. The successful candidate will bring demonstrated systems engineering expertise across the full ground enterprise life cycle and lead systems engineering management activities, with hands-on experience in model-based systems engineering (MBSE), AI-enabled system integration, and Agile solutioning., * Apply systems engineering processes across the full system life cycle, including concept of operations (CONOPS) development, requirements definition, architecture development, design, integration, verification, validation, deployment, operations, and sustainment. * Develop and maintain SE products, dashboards and system performance metrics using Digital Engineering (DE) and Agile/SAFe methodologies and collaboration tools such as Jira and Confluence. * Author and update organizational SE artifacts such as Systems Engineering Plan (SEP), Test and Evaluation Master Plan (TEMP), and DE, Agile, DevSecOps guidance and implementation plans. * Create and analyze operational, functional, logical, physical, interface, and mission performance in support of Chief Architect Office priorities. * Develop, decompose, allocate, trace, and validate mission, stakeholder, system, and interface requirements. * Conduct architecture trade studies, mission-thread analysis, technical risk assessments, and system-of-systems integration assessments. * Evaluate and support integration of AI/ML-enabled capabilities into mission and enterprise systems, including data dependencies, interface requirements, performance measures, validation approaches, and operational risks. * Support integration, test, verification, validation, technical baseline management, and configuration-control activities. * Prepare technical briefings, white papers, decision packages, architecture products, and engineering reports for government and industry stakeholders. * Participate in technical interchange meetings, architecture reviews, requirements reviews, and Agile planning activities.