Design and deploy AI/ML-powered data analytics, knowledge systems, and collaborative applications for Joint Staff missions in classified environments. This role blends modern software engineering with machine learning to transform siloed data into actionable intelligence.
What you'll do
- Develop and deploy Python-based NLP and ML workflows including text analytics, topic modeling, embeddings, and entity extraction
- Build network analysis and knowledge graph systems using GraphRAG-like architectures for multi-source analytic problems
- Design and implement TypeScript collaborative front-end applications supporting real-time multi-user analytics and decision environments
- Build APIs, integrate data feeds, and manage end-to-end data pipelines in secure classified networks
- Evaluate emerging tools and adapt customer capabilities to Joint Staff missions with minimal oversight
- Provide technical documentation and iterative solution development in partnership with customer personnel
- Uphold security protocols and access policies while operating in SIPRNet and JWICS environments
Mission
This position supports Joint Staff-level analytical challenges, operating within SIPRNet and JWICS secure environments. Engineers work as embedded technical team members delivering mission-specific solutions with minimal supervision to support the nation's most critical defense priorities.
Required skills
- Python
- TypeScript
- Natural Language Processing
- Machine Learning
- Git
- Data Integration
- APIs
- GraphRAG
- Knowledge Graphs