Job Requirements
Camp Smith, HI
Secret Polygraph Unspecified
Career Level not specified
$120,001 - $160,000
Job Description
Description
SAIC is seeking a Joint Exercise AI Integrator located at Camp Smith in Hawaii to support USPACOM to serve as a core member of the J7 Training and Exercises Division, responsible for designing, implementing, and maintaining AI-enabled workflows, dashboards, and decision-support tools that enhance the efficiency, realism, and effectiveness of joint military exercise planning and execution. This role bridges advanced data/AI capabilities with operational and tactical training requirements across the Joint Exercise Life Cycle (JELC).
The specialist supports both operational synthetic computer-assisted command post exercises (CPX) and tactical field training exercises (FTX), ensuring AI systems meaningfully augment planning, control, assessment, and after-action analysis.
JOB DESCRIPTION:
Qualifications
REQUIRED EDUCATION AND EXPERIENCE:
DESIRED QUALIFICATIONS:
REQUIRED CLEARANCE:
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
SAIC is seeking a Joint Exercise AI Integrator located at Camp Smith in Hawaii to support USPACOM to serve as a core member of the J7 Training and Exercises Division, responsible for designing, implementing, and maintaining AI-enabled workflows, dashboards, and decision-support tools that enhance the efficiency, realism, and effectiveness of joint military exercise planning and execution. This role bridges advanced data/AI capabilities with operational and tactical training requirements across the Joint Exercise Life Cycle (JELC).
The specialist supports both operational synthetic computer-assisted command post exercises (CPX) and tactical field training exercises (FTX), ensuring AI systems meaningfully augment planning, control, assessment, and after-action analysis.
JOB DESCRIPTION:
- Develop, integrate, and maintain AI-driven workflows, automation pipelines, and interactive dashboards to support exercise design, planning, execution, and assessment.
- Build data models and decision-support tools that enhance scenario development, MSEL generation, inject management, logistics/sustainment visibility, and operational synchronization.
- Serve as the division's subject-matter expert on Maven Smart System, Foundry, and related enterprise data/AI platforms; design exercise-specific applications and data flows within these environments.
- Support CPX execution by integrating AI tools into the Exercise Control Group (ECG), including synthetic play, operational reporting, and real-time analytics.
- Support FTX execution by developing AI-enabled tools for tactical training units, including sensor integration, data capture, and automated performance analytics.
- Coordinate with J7 planners, component commands, training audiences, and external partners to ensure AI capabilities align with exercise objectives and joint training requirements.
- Lead or support working groups focused on AI integration, data architecture, and digital transformation within the exercise enterprise.
- Maintain and manage data repositories, model libraries, and exercise information systems to ensure continuity, accuracy, and accessibility across the JELC.
- Provide training and onboarding for staff and exercise participants on AI tools, dashboards, and workflows.
- Ensure compliance with OPSEC, data governance, and classification requirements when handling exercise data and AI systems.
Qualifications
REQUIRED EDUCATION AND EXPERIENCE:
- Bachelor's and ten (10)+ years of related experience; additional four (4) years of experience considered in lieu of degree.
- Extensive knowledge of the Joint Exercise Life Cycle (JELC), CPX/FTX design, and Exercise Control Group operations.
- Demonstrated experience integrating digital tools, automation, or analytics into military training environments.
- Hands-on familiarity with Maven Smart System, Palantir Foundry, or similar enterprise AI/data platforms.
- Experience developing dashboards, workflows, or data pipelines using modern analytics tools (e.g., Python, SQL, Spark, Airflow, Power BI, or equivalent).
- Strong understanding of joint doctrine, operational planning processes, and multi-domain training requirements.
- Ability to communicate complex technical concepts to senior leaders, planners, and training audiences.
- Ability to work independently, manage multiple tasks, and operate effectively in a fast-paced joint headquarters environment.
DESIRED QUALIFICATIONS:
- Experience with synthetic training environments, LVC (Live-Virtual-Constructive) integration, or simulation federations supporting CPX execution.
- Experience supporting AI/ML model development, data labeling, or operational deployment.
- Prior service or experience on a Combatant Command, Service Component, or Joint Staff.
- Familiarity with DevSecOps environments and secure cloud architectures (JWCC, ICAM, etc.).
- Experience developing automated assessment tools or performance analytics for training audiences.
REQUIRED CLEARANCE:
- Must have an Active Secret Clearance with ability to obtain a TS/SCI clearance.
- Must be a current U.S. Citizen.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
group id: 10111346