Senior AI Engineer

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.

• 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, Dev Sec Ops , 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).

• 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

• 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:
  Lang Graph, Semantic Kernel, vLLM, Ollama, Ray, NVIDIA GPU ecosystems, vector databases.