Artificial Intelligence Engineer

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

L3

Harris is seeking a Forward Deployed Engineer of AI Platforms to support the Space and Mission Systems (SMS) segment AI organization. This role will build, deploy, and maintain the secure Linux, container, and cloud infrastructure supporting AI-enabled applications across approved enterprise and government environments. The successful candidate will bring hands-on platform engineering experience, with an emphasis on Red Hat Enterprise Linux (RHEL), containerized applications, and cloud deployment.

AWS Gov Cloud experience is strongly preferred; comparable Azure Government experience is also valued. Working alongside AI application developers and cybersecurity personnel, this engineer will automate deployments, maintain secure configurations, resolve vulnerabilities, and support system assessment and authorization activities.

• Deploy, operate, and troubleshoot containerized AI applications and supporting services in approved cloud and on-premises environments
• Administer RHEL-based systems, including patching, access controls, configuration management, monitoring, and system hardening
• Build and maintain container images using Podman or Docker; manage artifacts and registries; support vulnerability scanning, SBOM generation, and remediation
• Automate infrastructure configuration and application deployment using scripting, Git-based workflows, and CI/CD pipelines
• Apply applicable DISA STIG requirements and work with cybersecurity personnel to document configurations, address findings, and support government assessment, authorization, and ATO sustainment activities
• Integrate and maintain approved AI services, including model-serving and retrieval components, in collaboration with application and data teams
• Maintain deployment procedures, operational documentation, and technical records using tools such as Jira and Confluence
• Ability to travel up to 20% of the time

• Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related technical field and a minimum of 6 years of prior relevant experience;
  Or, Graduate Degree and a minimum of 4 years of prior related 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
• Working knowledge of system hardening, patching, vulnerability remediation, and configuration management; familiarity with DISA STIGs
• Strong troubleshooting, documentation, and communication skills
• Ability to obtain and maintain a DoD Secret…