Artificial Intelligence Engineer

L3Harris

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Camden, NJ
Salary
$109,500–$203,500 / yr
Posted
11 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $156k
$96k $239k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $148,175–$216,721 — the blue band above. At the midpoint, this role pays about $156k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About L3Harris

L3Harris Technologies is a US aerospace and defense technology company providing space and airborne systems, communications, electronic warfare, and missile propulsion solutions for government and commercial customers.

L3Harris currently has 877 open roles on FindRole.

Listed pay typically runs $106,500–$197,500 across 350 roles with salary data.

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View all roles at L3Harris

At a glance

TL;DR · Artificial Intelligence Engineer

The Artificial Intelligence Engineer joins the Space and Mission Systems segment AI organization as a Forward Deployed Engineer of AI Platforms. This role involves building, deploying, and maintaining secure Linux, container, and cloud infrastructure to support AI-enabled applications across enterprise and government environments. Key responsibilities include administering Red Hat Enterprise Linux systems, managing containerized applications using Podman or Docker, and automating infrastructure via Git-based workflows and CI/CD pipelines. The engineer will resolve vulnerabilities, apply DISA STIG requirements, and support assessment and authorization activities. Required technical skills include Python scripting, AWS or Azure cloud experience, and knowledge of system hardening. The role specifically addresses the technical challenge of integrating model-serving and retrieval components within regulated, mission-critical defense and aerospace environments.

What you'll do

  • Deploy, operate, and troubleshoot containerized AI applications in cloud and on-premises environments.
  • Administer RHEL-based systems including patching, access controls, configuration management, and system hardening.
  • Build and maintain container images using Podman or Docker while managing registries and vulnerability scanning.
  • Automate infrastructure configuration and application deployment using scripting, Git-based workflows, and CI/CD pipelines.
  • Apply DISA STIG requirements and support government assessment, authorization, and ATO sustainment activities.
  • Integrate and maintain approved AI services, including model-serving and retrieval components.
  • Maintain deployment procedures, operational documentation, and technical records using Jira and Confluence.

What we're looking for

  • Bachelor’s Degree in a technical field and 6 years of experience, or a Graduate Degree and 4 years of experience.
  • Hands-on experience administering RHEL or closely related enterprise Linux environments.
  • Experience building, deploying, and maintaining containerized applications using Podman or Docker.
  • Programming or scripting proficiency, with Python preferred, and experience automating deployment or operational tasks.
  • Hands-on experience deploying or operating workloads in AWS, Azure, or a comparable cloud environment.
  • Experience with Git-based workflows and CI/CD pipelines.
  • Ability to obtain and maintain a DoD Secret clearance.
  • U.S. citizens.

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