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# Senior AI Engineer

- **Company:** Leidos, Inc.
- **Location:** Alexandria, VA, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Cyber Security, Information Engineering, Microprocessors, Field-Programmable Gate Array (FPGA), Intelligence Analysis, Python (Programming Language), Machine Learning, OpenAI, Explainable AI (XAI), Graphics Processing Unit (GPU), Retrieval-Augmented Generation, Multi-Agent Systems, Social Network Analysis, Kubernetes, Information Technology, Deployment Automation, Ollama, Machine Learning Operations, Entity Resolution, Semantic Kernel, Devsecops
- **Published:** October 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466874908&tx=IT9588THD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path., * 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
 * LangGraph
 * Semantic Kernel
 * vLLM
 * Ollama
 * Ray
 * NVIDIA GPU ecosystems
 * Vector databases

#ASBA

## Description

* 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).