Marketing Specialist - AI Agent Builder

The AI Agent Builder is responsible for developing, implementing, and optimizing enterprise AI assistants using low-code/no-code platforms such as Microsoft Copilot Studio. Working closely with business stakeholders, governance, security, privacy, and technology teams, this role translates business needs into practical AI solutions that enhance productivity and streamline workflows. The position ensures AI assistants meet established governance, security, and compliance standards while supporting user adoption through training, documentation, and performance measurement. The AI Agent Builder also promotes best practices, monitors solution effectiveness, and contributes to the evolution of scalable AI capabilities across global PCG business units. Additional Details: - This position requires up to 10% travel. - This is approved remote, but may be required to the nearest Sherwin-Williams location. - This position is also eligible for [bonus] [commissions] [long-term incentive compensation awards] based on performance and subject to the terms of the Company's applicable plans. - Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships. AI Agent Development and Implementation - Build and configure production-ready AI assistants using low-code/no-code platforms such as Copilot Studio, including conversation flows, user interaction patterns, prompt instructions, grounding context, tool actions, connectors, and approved data sources. - Implement guardrails including scoped instructions, fallback responses, and human-in-the-loop escalation paths. - Test agent behavior across common and edge-case scenarios; iterate based on user feedback, usage patterns, and performance insights. - Support business users by co-building initial agents, sharing best practices, and enabling safe self-service within defined guardrails. Cross-Functional Partnership - Collaborate with Business Units to understand use cases and translate requirements into AI assistant designs. - Partner with AI Governance, Security, Privacy, Technology, and Enterprise Technical Group teams to ensure compliance with enterprise standards. - Support reuse and consistency of AI assistant solutions across multiple functions, regions and Business Units. Governance and Risk Alignment - Ensure AI assistants comply with established AI governance, security, and data privacy requirements. - Document assistant behavior, approved data sources, and intended use to support review and audit processes. - Incorporate monitoring, feedback mechanisms, and responsible operating practices. AI Agent Adoption and Continuous Improvement - Support PCG divisions in planning and executing training and adoption activities aligned with division priorities, business processes, and user needs. - Develop and maintain training resources, quick-start guides, support materials, and adoption tools to foster consistent understanding and confident use of AI agents across global teams - Establish meaningful adoption metrics and KPIs, track progress using relevant dashboards, and provide management updates on usage, engagement, outcomes, and improvement opportunities. Foundational Enablement Follow defined standards and contribute to evolving best practices for AI assistants. Create and maintain documentation for ongoing maintenance and futu