New Roles · AI Operators & Cross-Functional Roles
AI Agent Operator. The role, the market signal, and how to build it in your org.
Monitors agent queues, outputs, failures and escalations after implementation. Works within the agreed permissions, resolves assigned cases and refers exceptions to the responsible owners.
In a workforce of people and AI agents, this role takes shape around the workflows it supports. Define its responsibilities and handoffs, then prepare people to perform that work.
Source snapshot 2026-07-17. Postings do not confirm that a vacancy is still open.
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What the market calls it
AI Agent OperatorAgent OperatorAgent Operations Specialist
How we build it in your org
From the market's version of this role to your version of it
1. Define workflow responsibilities
Start with the actual work this role must improve and the output your enterprise needs. Define how people and agents share the decisions, exceptions and handoffs. Task Intelligence examines the tasks within that work.2. Define your version
Your team defines the role around its own systems, data, rules and responsibilities. Agree what the person configures, builds, reviews or supervises and what technical support is needed.3. Practise and assess readiness
Build on the domain and technical expertise your people already bring. Shape a practical project around your enterprise context, then use relevant Simulations, GenAI Sandboxes and Skill Validation Assessments to review the work and capability demonstrated.Start with the work, not the org chart.
Define what this role will build, configure, decide and check. Connect that work to an enterprise-specific project and agreed assessment evidence.