AI Engineer

AI Engineer

Hours:

Regular Full-TimeSalary Range:

$135k/yr - $171k/yr

Clearance Requirements:

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

We are seeking an innovative AI Engineer with experience in Global Command and Control System (GCCS) and Joint Planning and Execution Services (JPES) to develop and integrate AI/ML capabilities into Joint Command and Control (C2) environments. This role focuses on enabling data-driven decision advantage by embedding AI/ML into operational planning, execution workflows, and real-time situational awareness systems across DoD networksKey Responsibilities

• Design, develop, and deploy AI/ML models to support GCCS and JPES mission workflows (e.g., force planning, course of action analysis, logistics forecasting)
• Integrate AI capabilities into C2 systems and data pipelines, enabling real-time analytics and decision support
• Engineer and maintain data pipelines for structured and unstructured data across GCCS, JPES, and related systems
• Implement data fusion and knowledge graph solutions to unify operational, intelligence, and logistics data
• Develop AI-enabled capabilities for predictive analytics, anomaly detection, and decision automation
• Deploy models in cloud and edge (DDIL) environments, ensuring resilience and low-latency performance
• MLOps best practices (CI/CD, model versioning, monitoring) within DoD DevSecOps ecosystems (e.g., Platform One)
• Ensure compliance with DoD AI governance, ethical AI principles, RMF, and Zero Trust Architecture
• Support Cross Domain Solution (CDS) integration for secure AI data flows across classification levels
• Collaborate with operators and planners to align AI outputs with

JOPP / JPES

workflows

• Produce technical documentation, model explainability artifacts, and architecture inputs (DoDAF views) Position Requirements

Minimum Requirements:

Experience:

• 5-10+ years of experience in AI/ML engineering, data engineering, or advanced analytics
• Experience with:
• GCCS ecosystem (data sources, COP, system interfaces)

JPES / JOPES

processes and systems

• Proficiency in:
• Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Data engineering tools (SQL/NoSQL, Spark, Kafka, ETL pipelines)
• Experience deploying models in:
• Cloud environments (AWS GovCloud, Azure Government)
• Containerized environments (Docker, Kubernetes)

Understanding of:

• DoD cybersecurity requirements (RMF, STIGs, Zero Trust)
• Data governance, labeling, and model validation in classified environments

Education:

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

Knowledge/Skills:

• AWS/Azure AI/ML Specialty
• Security+ / CISSP (DoD 8570/8140 compliant)

Preferred Qualifications:

• Experience supporting DISA, Joint Staff, or Combatant Command C2 systems
• Familiarity with JADC2, CJADC2, and data-centric warfare concepts
• Experience with:
• Knowledge graphs / ontologies (e.g., RDF, OWL)
• Geospatial analytics (e.g., NGA data, GIS tools)
• Natural Language Processing (NLP) for planning documents and operational reporting
• Experience with Palantir, DataBricks, or similar DoD data platforms 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