- A growing national organization investing heavily in enterprise AI and automation.
- A high-visibility AI function working directly with business leaders across Operations, Supply Chain, Finance, Marketing, HR, and Corporate functions.
- A team focused on moving beyond AI experimentation and into practical, measurable business applications.
- This position reports directly to the Head of AI Programs and will have significant exposure to executive leadership.
- Highly visible role with direct impact across the enterprise.
- Opportunity to help shape the company’s broader AI strategy and implementation roadmap.
- Hands-on ownership of Generative AI use cases from initial concept through proof of concept and production handoff.
- Hybrid work environment in Charlotte.
- Unlimited PTO, 401(k), medical, dental, vision, tuition reimbursement, and additional benefits.
- Partner with business leaders to identify and prioritize high-impact AI use cases.
- Design and build Generative AI proofs of concept using Claude and other supporting technologies.
- Translate business requirements into AI-enabled workflows, prompts, prototypes, and implementation plans.
- Lead UAT and work with development teams to move validated solutions into production.
- Build reusable prompt libraries, frameworks, and standards for internal AI applications.
- Evaluate AI outputs, identify failure points, and continuously improve solution quality.
- Develop ROI analysis, success metrics, roadmaps, dashboards, and executive-level reporting.
- Help establish responsible AI practices around quality, safety, governance, and usability.
- Train internal teams on advanced LLM capabilities, prompting techniques, and AI best practices.
- Strong hands-on experience with Generative AI, LLMs, and enterprise AI solutions.
- Experience with Claude strongly preferred; OpenAI, Azure OpenAI, Gemini, Bedrock, or similar platforms also highly relevant.
- Background building POCs, prototypes, AI workflows, or automation solutions.
- Strong understanding of prompt engineering, RAG, AI agents, and LLM optimization.
- Ability to work directly with business stakeholders and translate business problems into technical solutions.
- Strong executive communication and presentation skills.
- Experience evaluating business value, ROI, and adoption of AI solutions.
- Bachelor’s degree in Computer Science, AI, Data Science, Computational Linguistics, or related field preferred..
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