Specialist, Application Developer
Listed on 2026-07-01
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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.
Specialist, Application Developer Job Code: 38077
Job Location:
(On Site)
Melbourne, FL;
Rochester, NY;
Salt Lake City, UT; or Rockwall TX
9/80:
Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off.
This position is responsible for developing, implementing, and maintaining AI‑powered applications and automation solutions that drive business value across the enterprise. This role combines application development expertise with data engineering and artificial intelligence capabilities to build intelligent systems that enhance operational efficiency and enable data‑driven decision‑making. The selected candidate will work closely with software application development, data engineering, IT, and business stakeholders to deliver secure, scalable, and business‑relevant solutions.
EssentialFunctions
- Design, develop, test, and maintain AI‑powered applications and automation solutions using modern development frameworks and cloud platforms
- Work within Palantir Foundry (or similar platforms) to build data‑driven applications and analytical workflows
- Support end‑to‑end software development activities, including requirements analysis, architecture, coding, integration, testing, and deployment
- Build and integrate LLM‑based applications leveraging generative AI technologies for business use cases
- Develop agentic AI systems that can autonomously perform tasks, make decisions, and interact with multiple tools and APIs
- Create and maintain data pipelines for AI model integration, feature engineering, and real‑time inference
- Implement AI solutions for classification, prediction, natural language processing, and computer vision applications
- Build automation workflows that integrate AI capabilities with existing enterprise systems and business processes
- Develop APIs, microservices, and supporting components to expose AI functionality to downstream applications and users
- Perform model evaluation, validation, and performance analysis using appropriate technical metrics
- Optimize application performance, scalability, and cost‑efficiency of AI workloads
- Ensure compliance with software development standards, cybersecurity requirements, data protection policies, and responsible AI practices
- Collaborate with cross‑functional teams to translate business and technical needs into effective solutions
- Evaluate and integrate emerging AI technologies and frameworks to maintain competitive advantage
- Prepare and maintain technical documentation, design artifacts, user guides, and test results
- Troubleshoot and resolve issues in production AI systems, implementing monitoring and alerting solutions
- Support lifecycle sustainment of deployed capabilities including defect resolution and performance improvements
- Participate in agile development processes including sprint planning, daily standups, retrospectives, and technical reviews
- Contribute to the development of reusable AI components and internal libraries
- Contribute technical solutions within established architectures and development processes
- Identify risks and recommend mitigation strategies
- Stay current with the rapidly evolving AI landscape and share knowledge with the broader team
Bachelor’s Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
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