Artificial Intelligence Engineer

L3Harris 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. L3Harris 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.

L3Harris 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.

Job Title: Artificial Intelligence Engineer

Job Code: 46287

Job Location: Camden, NJ

Job Schedule: 9/80 (Every other Friday off)

Job Description:

L3Harris 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 GovCloud 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.

Essential Functions:

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

Qualifications:

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 clearance required

Preferred Additional Skills:

Hands-on experience with AWS GovCloud (US), Azure Government, or comparable government cloud environments
Experience supporting DCSA-authorized classified systems or other government-authorized environments, including RMF, security assessments, and ATO sustainment
Experience with Red Hat OpenShift, Kubernetes, infrastructure automation, or configuration-as-code practices
Experience with container registries and artifact repositories such as JFrog Artifactory
Experience deploying or integrating LLMs, local model-serving infrastructure, RAG components, or other AI-enabled applications
Experience delivering software or infrastructure in defense, aerospace, or other regulated, mission-critical environments

In compliance with pay transparency requirements, the salary range for this role in New Jersey is $109,500 - $203,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

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