- Location
- Dayton, OH,US, US
- Type
- Full-time
- Department
- Engineering
- Experience
- 20+ years
- Education
- Bachelor
- Clearance
- Required
- Source
- Eightfold
Description
Lead the application of AI/ML, large language models, agentic workflows, and data analytics to ground systems architecture and systems engineering challenges. Develop AI-enabled approaches for analyzing large engineering datasets, including requirements, architecture artifacts, interface data, test results, operational data, defect trends, and technical documentation. Use agentic AI methods to support architecture trade studies, design decision analysis, risk identification, technical baseline assessment, modernization planning, and mission/thread analysis. Identify opportunities to improve CI/CD and DevSecOps pipelines through AI/ML-assisted automation, anomaly detection, test prioritization, quality gates, deployment insights, documentation support, and engineering workflow optimization. Lead the development and documentation of the Government Reference Architecture (GRA) for ground segments, ensuring alignment with Air Force strategic goals and objectives. Analyze existing and emerging ground segment architectures, technologies, and standards to inform the GRA development process. Support ground systems architecture development, interface analysis, system decomposition, requirements traceability, technical reviews, and integration planning. Analyze existing and emerging ground segment architectures, technologies, and standards to inform the GRA development process. Develop solutions and recommendations to improve data exchange, communication protocols, and functional integration. Develop and deliver comprehensive technical documentation for the GRA, including architectural diagrams, interface specifications, and implementation guidelines. Evaluate emerging AI/ML, agentic AI, data engineering, and Machine Learning Operations (MLOps) technologies for applicability to ground systems and digital engineering environments. Security Clearance: Active Top Secret clearance with eligibility for Sensitive Compartmented Information (SCI). Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, Data Science, Aerospace Engineering, or a related technical discipline. Minimum of 20 years of experience in systems engineering, with a focus on ground systems architecture and standards. Experience developing or working with architectural reference models or frameworks is highly desired. Experience applying MBSE methodologies in DoD environments is preferred, especially in the context of architecture modeling. Proficiency in MBSE tools such as Cameo Systems Modeler, MagicDraw, or Enterprise Architect is highly desirable. Experience supporting ground systems, mission systems, command and control systems, defense systems, or other complex technical architectures. Strong understanding of systems engineering principles, architecture development, requirements analysis, interface definition, integration, verification, and technical decision-making. Experience with DevSecOps, CI/CD pipelines, software delivery workflows, or modern software engineering environments. Working knowledge of AI/ML concepts, data analytics, large language models, agentic workflows, retrieval-augmented generation, or applied automation. Ability to translate architecture and engineering problems into data-driven or AI/ML-enabled solution approaches. Ability to work across systems engineering, software, cybersecurity, cloud/platform, test, and program management teams. Experience with GitLab, Jenkins, Kubernetes, containers, cloud environments, artifact repositories, automated test frameworks, or pipeline observability tools.
