Specialist, Artificial Intelligence & Advanced Analytics
L3Harris Technologies
- Location
- Multiple Locations
- Level
- Mid
- Salary
- $79.5k – $147.5k/yr
Skills
About this role
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: Specialist, Artificial Intelligence & Advanced Analytics Job Code: 41878 Job Location: Rochester, NY; Salt Lake City; Londonderry, NH; Palm Bay, FL Job Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off Job Description: This position is responsible for identifying, implementing, and sustaining AI-powered solutions and intelligent automation capabilities that improve business operations across the enterprise. This role sits within an Operations function and focuses on applying artificial intelligence, data, and process automation to drive operational efficiency, improve decision-making, reduce manual work, and enhance business performance. The selected candidate will work closely with Operations, IT, software application development, data engineering, and business stakeholders to translate operational needs into practical, scalable, and secure solutions. This role combines operational process knowledge, analytical problem-solving, and technical fluency to enable the successful deployment of AI tools, workflow automation, and data-driven operational improvements. Essential Functions: Identify operational inefficiencies, manual processes, and business pain points that can be improved through AI, automation, and data-driven solutions Partner with Operations leaders and cross-functional stakeholders to define use cases, requirements, business value, and implementation priorities Support the design, implementation, and sustainment of AI-enabled tools and automation solutions that improve operational performance Work within Palantir Foundry or similar platforms to develop operational workflows, dashboards, data-driven applications, and decision-support tools Translate business and operational requirements into functional specifications for software, data, and AI solution teams Support deployment of LLM-based applications and generative AI capabilities for operational use cases such as knowledge retrieval, summarization, workflow support, task execution, and decision augmentation Help implement agentic AI and intelligent automation solutions that can execute repeatable operational tasks, interact with enterprise systems, and support business processes Coordinate with technical teams to enable required data pipelines, integrations, APIs, and workflow connections needed to support operational AI use cases Monitor solution adoption, process performance, user feedback, and business outcomes to ensure delivered capabilities achieve intended operational value Define, track, and report key operational metrics related to cycle time, throughput, productivity, quality, automation effectiveness, and cost savings Support user acceptance testing, operational validation, business readiness activities, and deployment planning for new tools and capabilities Develop standard work, operating procedures, training materials, and user documentation to support successful adoption and sustainment of operational solutions Ensure solutions align with operational requirements, cybersecurity policies, data protection standards, and responsible AI practices Serve as a liaison between Operations and technical teams to ensure business priorities are clearly