Senior Specialist, Artificial Intelligence
Listed on 2026-07-17
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Software Development
AI Engineer (Applied/Software)
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.
Job Title: Senior Specialist, Artificial Intelligence, AI Solutions Developer
Job Code: 40344
Job Location: Palm Bay, FL
Job Schedule: 9/80
Job Description:L3
Harris is seeking a skilled and motivated AI Developer to build AI‑powered solutions that drive efficiency, automation, and data‑driven decision‑making across Segment Operations, including manufacturing, test, quality, and supply chain functions. This role focuses on hands‑on development within Palantir Foundry, Codex and Microsoft Copilot, supporting production AI assistants, workflows, and integrations that directly improve operational performance. As AI adoption is still new and emerging in the workforce, this role will also combine technical tasking with employee engagement, training and AI transformation adoption.
The ideal candidate has strong technical foundations, experience in Foundry or Codex, and a willingness to dive deep into both AI tooling and operational business processes.
- Develop, test, deploy, and maintain AI applications, agents, and automations to support manufacturing, test, quality, and supply chain workflows
- Build effective prompt strategies, prompt chains, and standard prompts to streamline operational use cases
- Troubleshoot and enhance production AI solutions, ensuring reliability, accuracy, and performance across operational environments
- Integrate Foundry‑based applications with enterprise systems to support real‑time data access and decision workflows
- Work closely with Operations teams to understand process needs and translate them into technical AI solutions
- Deliver internal training sessions, workshops, and office hours to enable employee adoption of L3
Harris AI tools - Collaborate with data engineers and domain experts to ensure high‑quality data pipelines and ontology alignment with AI ready data
- Contribute to internal AI standards, documentation, and development practices
- Stay current on emerging AI technologies and identify opportunities to apply them to operational challenges
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field
- 3–7 years of experience in software development, data engineering, AI/ML engineering, or similar technical roles
- Demonstrated experience developing solutions in Palantir Foundry (transform code, ontology integration, pipelines, code workbooks, contour, etc.)
- Strong programming skills in Python, Java, or related languages
- 1+ years of experience implementing production‑grade AI/LLM workflows (prompting, orchestration, agent design)
Skills:
- Ability to quickly learn new tools and technologies and apply them in fluid, fast‑paced environments
- Strong analytical and problem‑solving abilities with attention to detail
- Strong communication skills with the ability to present technical concepts to nontechnical audiences.
- Experience working within manufacturing, test engineering, quality engineering, or supply chain domains
- Experience integrating AI solutions into real‑world operational systems or enterprise tooling
- Palantir Foundry Certification (Builder, Developer, Analyst) Experience with RAG, embeddings, vector databases, or agentic frameworks (Lang Chain, LiteLLM, Semantic Kernel)
- Hands‑on experience with cloud platforms (Azure, AWS, GCP)
- Familiarity with Dev Ops practices, containerization, or infrastructure‑as‑code
- Understanding of secure coding practices and compliance within regulated…
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