Systems Engineer (Senior) t16

TS/SCI Position

The DoD AI Program Office leads the integration of AI capabilities into the National Geospatial-Intelligence Agency (NGA) and the National System for Geospatial-Intelligence (NSG). This role ensures the end-to-end engineering and integration of AI-driven solutions, overseeing the development of systems infrastructure, including hardware and software implementation.

Location: NCE (Springfield, VA)

Duties:

• Lead requirements engineering, solutions development, and systems integration across NSG, ASG, and Federal Agencies.
• Provide technical planning, scheduling, reliability, and resiliency analysis for enterprise AI solutions.
• Support requirements traceability, architecture analysis, and workflow optimization, including cloud service capabilities.
• Advise on solution design modifications based on evolving mission requirements and technology advancements.
• Conduct Analysis of Alternatives (AoAs), Course of Action (CoA) assessments, Trade Studies, and Engineering Assessments.
• Oversee operational technical planning, project management, performance engineering, risk management, and interface design.
• Lead the integration of a DoD AI/ML program across NGA, Defense Intelligence Enterprise (DIE), and the Intelligence Community (IC).
• Provide technical oversight to Mid- and Junior-level contractor Systems Engineers.
• Demonstrate deep understanding of DIE, NSG, ASG, and NRO enterprises.

Required Skills & Experience:

• 12+ to 18 yrs experience
• Bachelor's degree in Computer Science, Information Systems or related field, or equivalent Senior level experience as a Data Security Engineer.
• Strong understanding of the systems engineering lifecycle and SAFe development.
• 6+ years of experience working with Department of Defense Architectural Framework (DoDAF) standards.
• Experience working with Model-Based Systems Engineering (MBSE).
• Proficiency in systems engineering tools and methodologies.

Desired Skills & Experiences:

• Master's degree in Systems Engineering or a related STEM field.
• Software Development Framework certification.
• Knowledge of Model-Based Systems Engineering (MBSE), tools, and languages.
• Experience in Cloud-based technologies.