Designs and delivers production-grade agentic AI solutions for process manufacturers using Seeq. Responsibilities include building Python-based agents, Skills, APIs, workflows, dashboards, and integrations with industrial systems and enterprise platforms. The role leads solution architecture, customer pilots, enablement, lifecycle ownership, evaluation, and continuous improvement. It requires customer-facing delivery, process manufacturing and historian experience, time-series analytics, prompt engineering, and hands-on Seeq expertise. Occasional customer, partner, or event travel is expected.

Serve as a customer-facing technical advisor for industrial analytics software. Design and implement scalable solutions, uncover high-value process-data use cases, guide customer adoption, troubleshoot integrations, mentor partners, and influence product roadmaps. Apply industrial process expertise to translate customer needs into technical solutions, collaborate with product and account teams, and communicate effectively with technical and executive stakeholders.