AISolutionsLead

## Accountabilities Design and build an end-to-end customer intelligence and knowledge aggregation platform integrating tools such as CRM, support systems, engineering repositories, and internal knowledge bases. Develop a Support Co-Pilot that enables teams to query unified data sources and retrieve accurate, cited answers for customer issues. Establish and maintain a unified customer identity model across multiple systems to ensure consistent data retrieval and analysis. Implement AI-powered workflows to reduce manual support effort, improve resolution speed, and eliminate fragmented knowledge access patterns. Define and iterate on mechanisms to promote validated AI-generated insights into downstream systems and knowledge platforms. Extend the platform to enable customer health scoring, lifecycle insights, and account intelligence for broader operational teams. Build and maintain AI maturity frameworks, governance standards, and reusable conventions across business units. Run hands-on enablement sessions, workshops, and coaching activities to increase AI adoption across teams. Identify and rapidly prototype high-impact AI opportunities across the organization in short, focused delivery cycles. Partner with cross-functional stakeholders to ensure AI systems are practical, adopted, and aligned with real operational workflows. Requirements: Proven experience building and deploying end-to-end AI or data-driven applications in production environments. Strong hands-on technical background in AI systems, LLM-based applications, data integration, or knowledge retrieval systems. Ability to work with multiple data sources and design unified data layers or knowledge graphs. Strong product and business acumen, with the ability to translate operational needs into technical solutions. Experience working with tools such as CRM, support platforms, or knowledge management systems (e.g., HubSpot, Zendesk, Jira, Confluence). Comfortable working in fast-moving, ambiguous environments