Senior AI Engineer

Leidos•Rockville, MD

13d•$131,300 - $237,350•Hybrid

About The Position

Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying 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. As a Senior AI Engineer, you will support the development and operationalization of AI and agentic AI systems in production mission environments. You will collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms. You will apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics. You will 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 OpenAI-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.