*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 FilledAmentum 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. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.
Skills Required
- Active Top-Secret security clearance and SCI eligibility
- Bachelor's degree in data science, computer science, AI, machine learning, mathematics, or related 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) and AI/ML libraries such as 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
- 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
- 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, 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
Amentum Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Amentum and has not been reviewed or approved by Amentum.
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Healthcare Strength — Healthcare offerings are described as comprehensive, with medical, dental, and vision plans and multiple PPO/HSA options. Mental health support via an employee assistance program and other wellness resources is also included in the benefits mix.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with employer matching. Profit-sharing contributions and immediate or near-term vesting in some cases further strengthen the retirement value proposition.
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Leave & Time Off Breadth — Time-off benefits are presented as solid for the sector, including tiered PTO accrual by tenure and a set of paid holidays. Role-dependent flexible or remote work options and leave programs add to perceived work-life support.
Amentum Insights
What We Do
Amentum is a premier global technical and engineering services partner supporting critical programs of national significance across defense, security, intelligence, energy, and environment. We draw from a century-old heritage of operational excellence, mission focus, and successful execution underpinned by a strong culture of safety and ethics. Headquartered in Germantown, Md., we employ more than 20,000 people in 48 states and 28 foreign countries and territories. Visit us at amentum.com to explore how we deliver excellence for our customers’ most vital missions.









