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Prompt Engineering & AI Solution Optimization:
-Develop, test, and iterate on prompt engineering strategies to maximize model accuracy, consistency, and performance.
-Apply RAG (Retrieval-Augmented Generation) patterns and evaluation frameworks to improve solution quality.
-Build feedback loops to continuously refine deployed AI models and agents based on real-world usage data.
Data-Driven Insights & Performance Monitoring:
-Monitor AI program performance (engagement, success rates, efficiency metrics) and translate data into actionable improvements.
-Instrument AI solutions with performance tracking (latency, success rates, engagement metrics, cost efficiency).
-Help maintain dashboards and reports that show how AI solutions are performing; surface trends and recommendations to leadership
Cross-Functional Collaboration & AI Enablement:
-Partner with Customer Success, Product, Engineering, Operations, and Enablement to embed AI into core workflows and customer engagement strategies.
-Act as a subject matter expert on AI capabilities within the team — translating technical “agentic” concepts into business value for stakeholders.
-Stay current on emerging AI capabilities, model releases, and agentic frameworks to drive continuous innovation across the team.
Other Duties as Assigned: Perform additional responsibilities as required to support the success of the Customer Experience organization, including contributing to AI governance practices, evaluating new tools and platforms, training and enablement on AI soluitons and supporting strategic initiatives that advance PCC’s AI Solutions capabilities.