Agentic Outcome Engineer (Customer AI Solution Engineer)

Adobe

AI

GenAI

Large co

About this role

This customer-facing technical role connects business goals to agentic AI implementations, helping turn suitable workflows into production-ready outcomes. It partners with customer teams and Adobe’s Product, Engineering, Sales and Customer Success groups through discovery, launch and improvement. Work spans use-case scoping and success criteria; configuring agent tools, data, context and integrations; and guiding testing, launch and knowledge transfer. The engineer uses APIs and logs to troubleshoot configuration, data, access and integration problems, evaluates output quality and reliability, monitors adoption, shares product feedback, and creates reusable documentation and automation. Applicants need experience in software or solutions engineering, technical consulting, implementation or a similar customer-facing technical role; hands-on familiarity with generative AI or agentic systems such as LLM workflows, tool use or orchestration; and experience integrating cloud software with customer data, services or workflows. Practical AI testing and evaluation, awareness of security, privacy, access control and governance, and the ability to prioritize amid incomplete information are also required.

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