AI Modeling Specialist (Senior)

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations. As an AI Modeling Specialist (Senior) you will have the opportunity to: 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). Required Qualifications: Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance. 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 Details: $120,000 - 170,000 The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits Overview: Our health and welfare benefits are designed to support you and your priorities. Offerings include: Health, dental, and vision insurance Paid time off and holidays Retirement benefits (including 401(k) matching) Educational reimbursement Parental leave Employee stock purchase plan Tax-saving options Disability and life insurance Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Original Posting: 06/26/2026 - Until Filled Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. 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