Senior AI Engineer

Leidos; Rockville (MD); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible work arrangements

Job summary

Leidos is seeking experienced professionals to support the Defense Intelligence Agency’s AI initiatives. Position involves collaboration across teams to develop AI systems in mission environments.

The ideal candidate has a Bachelor’s or Master’s in a quantitative field and over 12 years of experience in data science or analytics. The role offers flexible work arrangements in the National Capital Region, including remote options.

Qualifications

• 12+ years of experience in data science or analytics, including AI/ML solutions.
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Experience collaborating with hybrid teams in deploying analytical platforms.

Responsibilities

• Support AI development in production mission environments.
• Collaborate with multidisciplinary teams to solve complex challenges.
• Contribute to integrating AI and other technologies in a fast-paced environment.

Skills

AI/ML production engineering

Problem solving

Python development

Kubernetes-based AI deployments

Statistical analysis

Predictive analytics

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

OpenAI-compatible APIs

GPU inference optimization

Job description

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.