Lead the creation of a transformative SaaS platform for Modeling, Simulation, and Analysis (MS&A) by architecting scalable, secure, high-performance AI, ML, and LLM solutions, integrating cutting-edge generative AI to boost decision-making, streamline workflows, and solve complex campaign-level modeling challenges in the defense space.
Requirements
- 8+ years of experience in data or solution architecture or engineering
- 5+ years of experience with production AI or ML systems
- Experience with LLMs and Generative AI techniques
- Experience in feature engineering, model training, and monitoring frameworks
- Experience with MLOps and DSOP best practices
- Experience with relevant programming languages such as C++, Java, GO, or Python
- Experience in large dataset management, data lakes, and analysis
Responsibilities
- Architect scalable, secure, high-performance AI, ML, and LLM solutions
- Integrate cutting-edge generative AI
- Work with GenAI, LLMs, HPC, and MLOps from concept to operational deployment
- Shape the strategy for AI solutions
- Mentor top talent in AI
- Push the boundaries of what's possible in AI for national defense
Other
- Ability to obtain a TS/SCI clearance
- Experience leading programs or technical activities
- Experience with responsible AI and model bias mitigation
- Experience mentoring junior data scientists
- On camera during interviews and assessments