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# (Remote) AI Champion

- **Company:** Harris Computer Systems
- **Location:** United States (Remote available)
- **Salary:** $70,000.0 - $100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Machine Learning, Tensorflow, Pytorch, Deep Learning, Build Management, Virtual Agents
- **Published:** August 20, 2026
- **Apply:** https://harriscomputer.wd3.myworkdayjobs.com/1/job/Nebraska-United-States/XMLNAME--Remote--AI-Champion_R0046270-1

## About the Role

* Deep Technical Expertise: A strong foundation in machine learning, deep learning, data engineering, and AI agent frameworks.

 * Proven Architectural Skills: Demonstrated experience designing and deploying complex, multi-model AI applications.

 * Exceptional Collaboration: Excellent communication skills with a history of working effectively with diverse technical and non-technical teams.

 * Creative Problem-Solving: Strong analytical skills and a creative approach to tackling complex challenges.

 * Business Acumen: A solid understanding of business operations and a clear vision for how AI can create tangible value.

## Description

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.

What your impact will be:

 * Strategize & Innovate: Engage with industry leaders and internal teams to understand business needs and translate them into clear, actionable AI projects.

 * Design & Architect: Create the high-level blueprint for our AI solutions. You will select the right machine learning models, frameworks (like TensorFlow or PyTorch), and infrastructure to get the job done.

 * Lead & Collaborate: Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts, ensuring our solutions are effective and technically sound.

 * Ensure Quality & Integrity: Identify and mitigate potential risks in our AI systems, such as data bias and model drift, and establish robust monitoring to track performance.

 * Be a Thought Leader: Stay ahead of emerging AI trends and articulate a clear vision for how we can leverage them to maintain our competitive edge.


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