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Senior AI Engineer
Leidos
1 hour ago
Full-time
On-site
Rockville, Maryland, United States
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.
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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.
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