Senior AI Engineer
$131,300–$237,350 year
On-siteRockville, Maryland, United States or Alexandria, Virginia, United States
Job Summary
Senior AI Engineer at Leidos supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator. Responsible for developing and operationalizing AI and agentic AI systems in production mission environments, collaborating with analysts, engineers, and developers to deliver production-ready algorithms and platforms. Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics, while contributing to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced engineering-centric environment. Offers flexible work arrangements including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).
Required Qualifications
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (e.g., Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science)
- 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, LLMOps / MLOps, RAG architectures, AI orchestration frameworks, Kubernetes-based AI deployments, OpenAI-compatible APIs, Python development, GPU inference optimization
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