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# Principal Artificial Intelligence (AI) Engineer (SWE-4)

- **Company:** Leidos, Inc.
- **Location:** Fort Meade, MD, United States
- **Salary:** $154,050.0 - $278,475.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Signals Intelligence, Databases, Data Mining, Data Stores, Python (Programming Language), Key Management, Machine Learning, Neo4j, Rapid Prototyping Process, Cloud Services, System Testing, Systems Integration, Privacy Controls, Performance Testing, Large Language Models, Git, Docker
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3eb8ee6dc294d0c8

## About the Role

* Qualifications: Bachelor's degree plus fifteen (15) years of relevant experience or equivalent. Proficiency Python and experience with LangGraph, GHOSTMACHINE, Git, Neo4j, Docker, and LLM interfaces.
 * Security Clearance: Possess active TS/SCI with Polygraph to be considered for this role.
 * Desirable Skills: Knowledge of customer corporate tools and data repositories.

## Description

Leidos has a new and exciting opportunity for a Principal AI software engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!, Seeking a motivated Principal AI Engineer to support the exciting Analysis & Mitigations mission to map user requirements to system capabilities to design and build an Agentic Knowledge Management System to perform automated knowledge extraction from unstructured data. The engineer will perform system integration to ensure that agentic pipelines are connected to proper data sources. Additionally, they will perform development, system testing and lifecycle sustainment ensuring compliance with a set of key standards., * Mission Focus: Collaborate closely with team and stakeholders to conduct requirements analysis and documentation to develop an Agentic Knowledge Management System. Create and maintain a Docker image within the local infrastructure to support user access.

 * Technical Proficiency: Develop algorithms and models for automated knowledge extraction and implement machine learning techniques to enhance data extraction accuracy. Ensure system scalability and robustness by integrating with various data sources including APIs, databases, and cloud services. Perform performance testing and optimization and ensure compliance with security and privacy standards.


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