AI Engineering Lead

Leidos; Eagan (MN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Leidos is seeking an AI EngineeringLead to join the Air Traffic Business Area within the Homeland Sector, supporting the Leidos Common Automation Platform (L-CAP). The role leads AI engineering strategy and practices for L-CAP, integrating AI-augmented development tools, ML capabilities, and intelligent automation into the program’s engineering workflow.

This is a hybrid position with 3 days onsite and 2 days remote, requiring commutable distance to the listed locations.

Job description

Description

Leidos is seeking an AI EngineeringLead to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automation Platform (L-CAP). L-CAP is a mission-critical, future-ready automation platform built on a hybrid cloud data mesh architecture, enabling next-generation air traffic management capabilities. You will lead AI engineering strategy and practices for L-CAP, integrating AI-augmented development tools, machine learning capabilities, and intelligent automation into the program's engineering workflow. We are building with an AI-first engineering mindset, embracing emerging AI capabilities and modern development practices to accelerate delivery, improve software quality, and continuously evolve how we design and build mission-critical systems. This position supports government programs and requires the ability to obtain andmaintaina favorable Public Trust investigation.

This role is part of a growing program, and hiring will depend on available funding. We review applications on a rolling basis, but the timeline for interviews and offers may vary. In some cases, we may extendcontingent offers that become active once funding is confirmed.

This position is located inGaithersburg, MD; Egg Harbor Township, NJ; or Eagan, MN. This is an opportunity to contribute to projects that impact millions of air travelers.

This is a hybrid position requiring 3 days onsite and 2 days remote work. Candidates should reside a commutable distance to one of the above locations.