
Staff Enterprise AI Engineer - Agentic Workflows & Productivity
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Enterprise AI Engineer – Agentic Workflows & Productivity based in United States.
This role is a senior, hands-on technical leadership position focused on building and scaling enterprise AI capabilities across a modern product organization.
You will define the architecture and standards for agentic workflows, while also actively contributing code and solving complex engineering challenges.
The position spans platform engineering, AI product enablement, and workflow automation across the full product development lifecycle.
You will design and operationalize systems that improve engineering productivity through intelligent agents, RAG pipelines, and automation frameworks.
A key part of the role involves enabling adoption of enterprise AI tools, building self-service capabilities, and driving measurable impact across teams.
This is a highly visible position requiring both deep technical expertise and the ability to influence cross-functional stakeholders in a fast-moving environment.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Enterprise AI Engineer – Agentic Workflows & Productivity based in United States.
This role is a senior, hands-on technical leadership position focused on building and scaling enterprise AI capabilities across a modern product organization.
You will define the architecture and standards for agentic workflows, while also actively contributing code and solving complex engineering challenges.
The position spans platform engineering, AI product enablement, and workflow automation across the full product development lifecycle.
You will design and operationalize systems that improve engineering productivity through intelligent agents, RAG pipelines, and automation frameworks.
A key part of the role involves enabling adoption of enterprise AI tools, building self-service capabilities, and driving measurable impact across teams.
This is a highly visible position requiring both deep technical expertise and the ability to influence cross-functional stakeholders in a fast-moving environment.