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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** JASINT CONSULTING - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $135,000.0 - $171,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Fusion, Data Governance, Extract Transform Load (ETL), Decision Support Systems, GIS Applications, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Software Tools, Tensorflow, Zero Trust Network Access, SQL Databases, Data Streaming, Unstructured Data, Cloud Platform System, Pytorch, Apache Spark, Model Validation, SC Clearance, Containerization, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Apache Kafka, Data Management, Machine Learning Operations, DODAF, Software Version Control, Data Pipelines, Devsecops, Docker, Databricks - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c752e780622596a7 ## About the Role Do you have experience in OWL?, Clearance Requirements: This position requires a current and active Secret clearance (TS/SCI preferred), 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 networks, * 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. ## Description * 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 * Apply 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) ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Navigating the AI Wave in DevOps](https://www.wearedevelopers.com/videos/853-navigating-the-ai-wave-in-devops) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)