New Roles · Business-function AI Builders

Operations AI Builder. The role, the market signal, and how to build it in your org.

Builds or configures AI workflows for operations, supply chain, logistics, procurement and fulfilment. Defines record changes, exceptions and handoffs with the operating teams.

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.

93 postings · 82 distinct titles · from 264,613 real job postings · see the source snapshot →

What the market calls it
Operations AI LeadSupply Chain AI ManagerAI Infrastructure Ops
Employers in this source snapshot
Accenture 11Bosch 5Cerebrassystems 4Booz Allen Hamilton 3OpenAI 3

What the postings ask this role to do

1,486 tasks extracted from real Operations AI Builder job descriptions, classified Automate / Augment / Human-only. In this source classification, 3.8% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.

Automate
  • Monitor llm performance.
Augment
  • Ensure compliance and security standards in ai operations.
  • Utilize cloud-native services and tools for scalable and efficient deployment.
  • Conduct market research.
  • Create production-ready pipelines.
  • Ensure scalability of ai solutions.
Human-only
  • Address operational challenges.
  • Make team decisions.
  • Mentor team members.
  • Provide strategic advisory services.
  • Ensure responsible use of ai solutions.
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.