Senior AI Engineer

Join Leidos’ all‑star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. Through training, teamwork, and exposure to challenging technical work, Leidos accelerates your career path.

• 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 the following technologies:
  • Lang Graph
  • Semantic Kernel
  • vLLM
  • Ollama
  • Ray
  • NVIDIA GPU ecosystems
  • Vector databases

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.