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Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Responsibilities

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.

Responsibilities

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.

Qualifications

Required:

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.

Equal Pay Act

This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

Min: $135,035.83 Max: $234,801.11 EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.