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

Leidos, Inc.
Fort Meade, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 278K

Job location

Fort Meade, United States of America

Tech stack

API
Artificial Intelligence
Signals Intelligence
Databases
Data Mining
Data Stores
Python
Key Management
Machine Learning
Neo4j
Rapid Prototyping Process
Cloud Services
System Testing
Systems Integration
Privacy Controls
Performance Testing
Large Language Models
GIT
Docker

Job 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.

Requirements

  • 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.

Benefits & conditions

$154,050 - $278,475 a year

Parental leave, 401(k) matching, Paid time off, 401(k) 6% Match, Paid holidays, Flexible schedule, Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

About the company

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

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