AI Implementer

AI Implementer

Hours:

Regular Full-TimeSalary Range:

$164k/yr - $210k/yr

Clearance Requirements:

This position requires a current and active Secret clearance (TS/SCI preferred)What you will be doing:

We are seeking a highly skilled AI Implementer to operationalize and integrate AI/ML capabilities into Global Command and Control System (GCCS) and Joint Planning and Execution Services (JPES) environments. This role focuses on deploying, integrating, and sustaining AI solutions within mission systems—bridging the gap between data science models and real-world Joint C2 operations.

Key Responsibilities

• Integrate and deploy AI/ML models into GCCS and JPES workflows, ensuring mission alignment and operational usability
• Configure and manage data pipelines and interfaces connecting AI services to C2 systems and data sources
• Operationalize AI capabilities within planning, execution, and situational awareness workflows (JOPP / JPES)
• Deploy AI solutions in cloud, hybrid, and edge (DDIL) environments
• Implement and manage MLOps pipelines (model deployment, versioning, monitoring, retraining) within DevSecOps ecosystems (e.g., Platform One)
• Ensure interoperability across GCCS components, DISA services, and external mission systems
• Support Cross Domain Solution (CDS) integration and secure data movement for AI-enabled capabilities
• Validate AI outputs through testing, evaluation, and user feedback loops in operational environments
• RMF, STIGs, and Zero Trust principles to AI system deployment and sustainment
• Troubleshoot integration issues and optimize performance of AI-enabled services
• Collaborate with data scientists, systems engineers, and operational users to refine and scale AI solutions Position Requirements

Minimum Requirements:

Experience:

• 5-10 years of experience in systems integration, AI/ML implementation, or DevSecOps environments
• Hands-on experience with:
• GCCS (GCCS-J / GCCS-M / GCCS-A) integration or sustainment

JPES / JOPES

workflows and systems

• Experience deploying applications in:
• Containerized environments (Docker, Kubernetes)
• Cloud platforms (AWS GovCloud, Azure Government)
• Familiarity with:
• AI/ML frameworks and model deployment practices
• API integration, microservices, and event-driven architectures

Understanding of:

• DoD cybersecurity frameworks (RMF, STIGs, Zero Trust)
• Data flows and interoperability in Joint C2 systems

Education:

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field

Preferred Qualifications:

• Experience supporting DISA programs (e.g., GCCS-J modernization, GSM-O, JADC2 initiatives)
• Familiarity with data fabrics, knowledge graphs, and real-time data streaming (Kafka, etc.)
• Experience implementing AI within Common Operational Picture (COP) environments
• Exposure to geospatial data, ISR feeds, or operational planning systems
• Experience with Platform One / Iron Bank / DoD DevSecOps tools

Certifications:

• Security+ (DoD 8570/8140 compliant)
• Cloud/DevOps certifications (AWS, Azure, Kubernetes)

Core Competencies:

• Strong execution focus—ability to take AI from concept to mission deployment
• Deep understanding of system integration in complex DoD environments
• Ability to work across engineering, data science, and operational communities
• Problem-solving in real-time, mission-critical environments Physical Demands This is largely a sedentary role; however, some filing is required.

The ability to move files, open filing cabinets, and bend or stand as necessary would be required....Visit the Employer site for more details