Overview
Join Leidos’ team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program deploys enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.
Responsibilities
- Support the development and operationalization of AI and agentic AI systems in production mission environments.
- Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
- Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
- Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).
What You Bring
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master’s).
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Track record of creative problem solving, active learning, and mission-focused outcomes.
- Experience with the following:
- AI/ML production engineering
- LLMOps / MLOps
- RAG architectures
- AI orchestration frameworks
- Kubernetes-based AI deployments
- OpenAI-compatible APIs
- Python development
- GPU inference optimization
Preferred Qualifications
- Experience supporting military or intelligence community customers.
- Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
- Familiarity with technologies: LangGraph, Semantic Kernel, vLLM, Ollama, Ray, NVIDIA GPU ecosystems, vector databases.