AI Modeling Specialist (Senior)

About the role

The AI Modeling Specialist (Senior) will support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The role involves designing, developing, and deploying advanced AI and ML models to enhance integrated planning, data exploitation, operational analysis, and decision support.

Responsibilities

• Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs).
• Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support.
• Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources.
• Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration.
• Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment.
• Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution.
• Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers.
• Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights.
• Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets.
• Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs).

Requirements

• Must have an active Top-Secret security clearance and be SCI eligible.
• Bachelor’s degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies).
• Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments.
• Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets.
• Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent).
• Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models.
• Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets.
• Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers.
• Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments.

Preferred Qualifications

• Advanced degree (MS or PhD) in AI, machine learning, data science, or related field.
• Experience developing AI-enabled automation frameworks or platforms supporting mission workflows.
• Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts.
• Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics.
• Experience supporting cross-CCMD or distributed data environments at scale.
• Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms).
• Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics.
• Experience working in joint, interagency, or coalition operational environments.
• Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas.

Compensation

$120,000 - 170,000

Benefits

• Health, dental, and vision insurance
• Paid time off and holidays
• Retailment benefits (including 401(k) matching)
• Retirement benefits
• Education reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance

Original Posting

Original Posting: 06/26/2026 - Until Filled