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# Systems Engineer

- **Company:** Blue Clarity, LLC
- **Location:** West Springfield, VA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Application Integration Architecture, Systems Engineering, Big Data, Cloud Computing, Network Interface Controllers, Geospatial Intelligence, GIS Applications, Pattern Recognition, Raw Data, Cloud Services, Service-Oriented Architecture, Large Language Models, Information Technology, DODAF
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=559a328c6f81a54f

## About the Role

* Education: Bachelor's degree or higher in Systems Engineering, Computer Science, Information Technology, Engineering, Physics, Mathematics, Operations Research, or a related STEM degree program.
 * Experience: Minimum of 10+ years of relevant working experience in government or industry, with at least 6 years supporting DoD/IC acquisition, requirements development, or systems engineering of complex System of Systems (SoS) or Service-Oriented Architectures (SOA).
 * Security Clearance: Active TS/SCI security clearance.

Core Technical Competencies

 * Deep understanding of the full Systems Engineering Lifecycle (SELC).
 * Working experience with Department of Defense Architecture Framework (DoDAF) standards.
 * Experience with cloud service capabilities, hybrid architectures, and workflow optimization.
 * Proven track record in requirements decomposition, interface control management, and system risk management.

Desired Qualifications

 * Advanced Degree: Master's degree in Systems Engineering or related STEM field.
 * Certifications: INCOSE Certified Systems Engineering Professional (CSEP), SAFe/Agile certifications, or Professional Engineer (PE) license.
 * Modern Engineering Frameworks: Practical experience with Model-Based Systems Engineering (MBSE), Digital Engineering frameworks, processes, and tools.
 * Advanced Domain Knowledge:
 * Experience engineering solutions using Cloud-based technologies, Big Data (structured/unstructured), or AI tools (including large language models) to support analysis and decision-making.
 * Familiarity with Geospatial Intelligence (GEOINT) systems, photogrammetry, remote sensing, or GIS tools.
 * Professional Affiliations: Active membership or leadership in organizations such as USGIF, INCOSE, IEEE, or ASPRS., * Do you have an active TS/SCI clearance?
 * Do you have experience with DODAF ?
 * Do you have extensive experience with requirements decomposition, interface control management, and system risk management?
 * Do you have experience with cloud service capabilities, hybrid architectures, and workflow optimization.

## Description

* Requirements & Solution Engineering: Guide the planning, analysis, and traceability of user requirements, architecture dependencies, and system procedures. Apply established requirements engineering methods as the foundation, using AI tools to assist with synthesizing stakeholder input, identifying patterns, and refining system workflows and capabilities.
 * Team Leadership & Oversight: Oversee and mentor mid-level and junior systems engineers across design, integration, testing, evaluation, and sustainment activities. Emphasize disciplined traditional systems engineering processes while encouraging appropriate use of AI tools to support analysis and improve team efficiency.
 * Architecture & Integration: Assist the Government in defining solution architectures, system interfaces, and program allocations within enterprise standards. Perform integration across organizational boundaries using proven interface control methods, with AI tools applied selectively to help evaluate interdependencies and inform trade-offs.
 * Technical Assessments & Studies: Lead Analysis of Alternatives (AoAs), Courses of Action (CoAs), Trade Studies, and Engineering Assessments. Conduct rigorous traditional analysis as the primary approach, supplemented by AI tools to accelerate review of emerging technologies, risk data, and alternative solutions.
 * Strategic & Operational Planning: Support strategic technical planning, project management, performance engineering, risk mitigation, and interface control design. Rely on conventional planning frameworks, applying AI tools where they add value to forecasting, prioritization, and risk insight.
 * Lifecycle Management: Oversee full-lifecycle systems engineering, including verification, validation, and transition to operational environments. Maintain traditional systems engineering discipline throughout, using AI tools as needed to support analysis, documentation, and continuous improvement.