AI Modeling Specialist (Senior)

Amentum

6d•$120,000 - $170,000•Onsite

About The Position

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.

Requirements

Must have an active Top-Secret security clearance and be SCI eligible.
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

Nice To Haves

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

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).