Senior AI Engineer
About The Position
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).
Requirements
- 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 AI/ML production engineering
- Experience with LLMOps / MLOps
- Experience with RAG architectures
- Experience with AI orchestration frameworks
- Experience with Kubernetes-based AI deployments
- Experience with Open AI-compatible APIs
- Experience with Python development
- Experience with GPU inference optimization
Nice To Haves
- 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 LangGraph
- Familiarity with Semantic Kernel
- Familiarity with vLLM
- Familiarity with Ollama
- Familiarity with Ray
- Familiarity with NVIDIA GPU ecosystems
- Familiarity with Vector databases
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.
Benefits
- Flexible work arrangements, including remote and on-site work
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What This Job Offers
Job Type
Full-time
Career Level
Senior
