Ground Architecture Systems Engineer

Responsibilities

Are you looking for an opportunity to influence and make a difference in the delivery of mission capabilities? What if you could find a position that builds upon your expertise in mission data modeling, capability integration and analytics, and communication skills? That's why we need you, an experienced professional, to support the Chief Architecture engineering group in our customer organization in evaluating and guiding future system architectures that enable activity-based intelligence through automated and accelerated mission delivery to our multi-agency Intelligence Community (IC) and DoD customers using the latest open-source tools, trends, and data modeling techniques.

Our Chief Architecture engineering team is responsible for leading and coordinating ground enterprise lifecycle systems engineering activities including requirements, CONOPS, and architecture development in the remote sensing domain for current and future systems. Arcfield is seeking a Ground Architecture Systems Engineer to support defining, analyzing, and evolving complex mission and enterprise architectures.

The successful candidate will bring demonstrated systems engineering expertise across the full development life cycle, with hands-on experience in model-based systems engineering (MBSE), AI-enabled system integration, and modeling and simulation.

Responsibilities

Apply systems engineering processes across the full system life cycle, including concept development, requirements definition, architecture development, design, integration, verification, validation, deployment, operations, and sustainment. Develop and maintain MBSE products using Cameo Systems Modeler or Cameo Enterprise Architecture, SysML, and Unified Architecture Framework (UAF) methodologies.

Create and analyze operational, functional, logical, physical, interface, and mission architecture views 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. Perform modeling, simulation, and quantitative analysis using MATLAB, STK, AFSIM, and/or comparable tools to assess system performance, mission effectiveness, and architecture alternatives.

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

Bachelor’s degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field, plus 8–10 years of relevant professional experience; master’s degree plus 6–8 years ; or PhD plus 3–5 years . Must possess and be able to maintain a TS/SCI with Poly Experience supporting systems engineering activities across the engineering “V” model and full system development life cycle.

Hands-on experience using Cameo Systems Modeler to develop and maintain MBSE artifacts. Experience applying SysML and/or UAF to model mission, system, enterprise, or system-of-systems architectures. Experience with requirements development, traceability, interface definition, architecture analysis, and technical baseline management.

Experience performing modeling and simulation analysis using MATLAB, STK, AFSIM, or similar tools. 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 and collaboration tools such as Jira and Confluence.

Strong written and verbal communication skills, including the ability to develop and present clear technical recommendations. Desired: Master’s degree in Systems Engineering, Engineering Management, Computer Science, Data Science, or a related technical discipline. 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: $110,204.91 Max: $191,624.96 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. Are you looking for an opportunity to influence and make a difference in the delivery of mission capabilities?

What if you could find a position that builds upon your expertise in mission data modeling, capability integration and analytics, and communication skills? That's why we need you, an experienced professional, to support the Chief Architecture engineering group in our customer organization in evaluating and guiding future system architectures that enable activity-based intelligence through automated and accelerated mission delivery to our multi-agency Intelligence Community (IC) and DoD customers using the latest open-source tools, trends, and data modeling techniques.

Our Chief Architecture engineering team is responsible for leading and coordinating ground enterprise lifecycle systems engineering activities including requirements, CONOPS, and architecture development in the remote sensing domain for current and future systems. Arcfield is seeking a Ground Architecture Systems Engineer to support defining, analyzing, and evolving complex mission and enterprise architectures.

The successful candidate will bring demonstrated systems engineering expertise across the full development life cycle, with hands-on experience in model-based systems engineering (MBSE), AI-enabled system integration, and modeling and simulation.

Responsibilities

Apply systems engineering processes across the full system life cycle, including concept development, requirements definition, architecture development, design, integration, verification, validation, deployment, operations, and sustainment. Develop and maintain MBSE products using Cameo Systems Modeler or Cameo Enterprise Architecture, SysML, and Unified Architecture Framework (UAF) methodologies.

Create and analyze operational, functional, logical, physical, interface, and mission architecture views 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. Perform modeling, simulation, and quantitative analysis using MATLAB, STK, AFSIM, and/or comparable tools to assess system performance, mission effectiveness, and architecture alternatives.

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.

Required: Bachelor’s degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or a related technical field, plus 8–10 years of relevant professional experience; master’s degree plus 6–8 years ; or PhD plus 3–5 years . Must possess and be able to maintain a TS/SCI with Poly Experience supporting systems engineering activities across the engineering “V” model and full system development life cycle.

Hands-on experience using Cameo Systems Modeler to develop and maintain MBSE artifacts. Experience applying SysML and/or UAF to model mission, system, enterprise, or system-of-systems architectures. Experience with requirements development, traceability, interface definition, architecture analysis, and technical baseline management.

Experience performing modeling and simulation analysis using MATLAB, STK, AFSIM, or similar tools. 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 and collaboration tools such as Jira and Confluence.

Strong written and verbal communication skills, including the ability to develop and present clear technical recommendations. Desired: Master’s degree in Systems Engineering, Engineering Management, Computer Science, Data Science, or a related technical discipline. 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.