Artificial Intelligence Specialist

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 Specialist

Job Code: 38585

Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX OR Herndon, VA

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

Job Description:

L3Harris is seeking an AI Specialist to support the Space and Mission Systems (SMS) segment AI team serving all SMS sectors. The AI Specialist will design, deploy, and maintain AI-enabled applications both in unclassified and secure containerized environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform engineering, and DevSecOps in a mission-critical defense environment.

Qualifications:

• Ability to obtain and maintain a DoD Secret clearance is required
• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
• 4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

• Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
• Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
• Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
• Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
• LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
• Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
• LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
• GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
• Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
• Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
• Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
• Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. 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.

The application window for this requisition is anticipated to close September 01, 2026.

#LI-CG1

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. Security clearances may only be granted to U.S. citizens. 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.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

• Ability to obtain and maintain a DoD Secret clearance is required
• Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
• 4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

• Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
• Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
• Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
• Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
• LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
• Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
• LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
• GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
• Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
• Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
• Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
• Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. 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.

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.