AI Agent Engineer. The role, the market signal, and how to build it in your org.
Builds agents that use tools, manage context and act within defined permissions. Implements execution and failure handling, and tests the agent against the task it is expected to perform.
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.
27 postings · 21 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
530 tasks extracted from real AI Agent Engineer job descriptions, classified Automate / Augment / Human-only. In this source classification, 2.3% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Monitor ai agent performance.
- Iterate rapidly based on customer feedback.
- Develop ai agents using cresta's ai platform and tools.
- Create implementation plans.
- Build custom tooling to address gaps.
- Iteratively refine solutions to meet objectives.
- Conduct interactive demos to prospective customers.
- Guide best practices for ai agent adoption and usage.
- Serve as a trusted technical advisor for the customer.
- Present compelling proof-of-concepts to prospective customers.
- Provide a tight feedback loop to product and engineering teams.
From the market's version of this role to your version of it
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.