Senior AI/ML Integration Advisor, NGA Mission Support
Listed on 2026-07-27
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Job Summary
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GIMBALS is hiring a senior artificial intelligence and machine learning (AI/ML) integration advisor to advance AI across NGA's GEOINT, multi-INT, and broader mission workflows. You will connect mission needs, technical opportunities, and enterprise constraints; move high-value use cases from concept through operational adoption; and help agency leadership make informed decisions about responsible, secure, and scalable AI investment.
3
GIMBALS is hiring a senior artificial intelligence and machine learning (AI/ML) integration advisor to advance AI across NGA's GEOINT, multi-INT, and broader mission workflows. You will connect mission needs, technical opportunities, and enterprise constraints; move high-value use cases from concept through operational adoption; and help agency leadership make informed decisions about responsible, secure, and scalable AI investment.
- Lead AI/ML integration across NGA capabilities to improve operational effectiveness, accelerate decision-making, and support future mission scale within GEOINT, multi-INT, and broader mission workflows
- Design and operationalize large language model (LLM), machine learning, advanced analytics, and intelligent automation use cases as useful, accessible, and trusted mission services
- Develop predictive analytics and AI-enhanced approaches that improve GEOINT tasking and collection management, including prioritization, timing, automation, and performance assessment
- Assess, prototype, and transition emerging AI technologies using demonstrations, user testing, cost-benefit analysis, performance metrics, risk assessment, and transition-readiness criteria
- Produce technology assessments documenting pilot results, mission value, transition recommendations, and investment priorities
- Integrate AI/ML with NGA and mission-partner architectures using secure cloud environments, Dev Sec Ops , data governance, and applicable IC, security, and federal policies
- Advise NGA leadership on responsible AI adoption, including explainability, bias, security, compliance, governance, and workforce adoption
Serve as a senior technical advisor working across NGA mission owners, GEOINT analysts, collection and tasking stakeholders, data and platform teams, acquisition organizations, security partners, and mission users across the National System for Geospatial Intelligence (NSG) and Allied System for Geospatial Intelligence (ASG). Translate operational problems into testable use cases and measurable outcomes, distinguish promising demonstrations from capabilities ready for sustained use, and communicate recommendations that support executive decisions and operational action.
RequiredSkills/Abilities
- Deep technical knowledge of AI/ML, LLMs, advanced analytics, intelligent automation, and the software and data architectures required to operationalize them
- Experience designing, prototyping, evaluating, integrating, or transitioning AI-enabled capabilities in secure, mission-oriented environments
- Ability to translate GEOINT or intelligence mission needs into use cases, technical requirements, evaluation criteria, and operational measures of effectiveness
- Demonstrated ability to evaluate technology using performance, cost, risk, security, operational impact, and transition-readiness considerations
- Experience with secure cloud architectures, APIs, integration patterns, Dev Sec Ops , data pipelines, model evaluation, and modern software delivery practices
- Strong communication and cross-organizational leadership skills, including the ability to brief executives, produce technical assessments, and influence without direct authority
- Active TS/SCI clearance and ability to work onsite at NGA Campus East in Springfield, Virginia, according to the customer's required schedule
- Experience supporting NGA missions, organizations, acquisition programs, or capabilities at NGA Campus East or another NGA location
- Knowledge of GEOINT tasking, collection, processing, exploitation, analysis, and dissemination workflows and their relationship to multi-INT mission operations
- Experience with responsible AI frameworks, model risk management,…
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