{"id":2701214,"url":"https://alion.io/job/l3harris-technologies-artificial-intelligence-engineer","title":"Artificial Intelligence Engineer","company":{"id":177017,"name":"L3Harris Technologies","domain":"l3harris.com","url":"https://alion.io/company/l3harris-technologies","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":20,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Camden, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":109500,"max":203500,"currency":"USD","period":"year","gross":null,"usd_annual":203500},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Podman","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Red Hat","optional":false},{"name":"SBOM","optional":false}],"status":"live","first_seen_at":"2026-10-16T11:14:27Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-17T05:46:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Artificial Intelligence Engineer\nJob Code: 46287\nJob Location: Camden, NJ\nJob Schedule: 9/80 (Every other Friday off)\nJob Description:\nL3Harris 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.\nEssential Functions:\nDeploy, operate, and troubleshoot containerized AI applications and supporting services in approved cloud and on-premises environments\nAdminister RHEL-based systems, including patching, access controls, configuration management, monitoring, and system hardening\nBuild and maintain container images using Podman or Docker; manage artifacts and registries; support vulnerability scanning, SBOM generation, and remediation\nAutomate infrastructure configuration and application deployment using scripting, Git-based workflows, and CI/CD pipelines\nApply applicable DISA STIG requirements and work with cybersecurity personnel to document configurations, address findings, and support government assessment, authorization, and ATO sustainment activities\nIntegrate and maintain approved AI services, including model-serving and retrieval components, in collaboration with application and data teams\nMaintain deployment procedures, operational documentation, and technical records using tools such as Jira and Confluence\nAbility to travel up to 20% of the time\nQualifications:\nBachelor’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\nHands-on experience administering RHEL or closely related enterprise Linux environments\nExperience building, deploying, and maintaining containerized applications using Podman or Docker\nProgramming or scripting proficiency, with Python preferred, and experience automating deployment or operational tasks\nHands-on experience deploying or operating workloads in AWS, Azure, or a comparable cloud environment\nExperience with Git-based workflows and CI/CD pipelines\nWorking knowledge of system hardening, patching, vulnerability remediation, and configuration management; familiarity with DISA STIGs\nStrong troubleshooting, documentation, and communication skills\nAbility to obtain and maintain a DoD Secret clearance required\nPreferred Additional Skills:\nHands-on experience with AWS GovCloud (US), Azure Government, or comparable government cloud environments\nExperience supporting DCSA-authorized classified systems or other government-authorized environments, including RMF, security assessments, and ATO sustainment\nExperience with Red Hat OpenShift, Kubernetes, infrastructure automation, or configuration-as-code practices\nExperience with container registries and artifact repositories such as JFrog Artifactory\nExperience deploying or integrating LLMs, local model-serving infrastructure, RAG components, or other AI-enabled applications\nExperience delivering software or infrastructure in defense, aerospace, or other regulated, mission-critical environments\nIn 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. 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