Staff Enterprise AI Engineer - Agentic Workflows & Productivity

About this role

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.


Accountabilities

• Lead the architecture, design, and rollout of enterprise AI platforms supporting agentic workflows across the organization.
• Build and maintain scalable, cost-efficient AI infrastructure, including model routing, cost controls, fallback models, and observability systems.
• Establish core platform foundations such as IAM, identity federation, tenant isolation, security guardrails, and compliance frameworks.
• Design and implement agent workflows across the product development lifecycle, including ideation, development, CI/CD, deployment, and monitoring stages.
• Develop self-service “agent factory” frameworks, enabling teams to safely build, deploy, and manage their own AI agents.
• Drive adoption of enterprise AI tools by providing training, enablement, and ongoing technical support.
• Build ...