AI Security Engineer. The role, the market signal, and how to build it in your org.
Reviews AI systems for prompt injection, model supply-chain risks, agent permissions and data boundaries. Can also build AI tools for authorized security testing and investigation.
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.
33 postings · 30 distinct titles · from 264,613 real job postings · see the source snapshot →
What the postings ask this role to do
868 tasks extracted from real AI Security Engineer job descriptions, classified Automate / Augment / Human-only. In this source classification, 2.1% of task statements are automation candidates. The share does not measure working time or demonstrated agent performance.
- Document ai security patterns.
- Document ai security standards.
- Document security best practices.
- Document ai security best practices.
- Track security requirements to closure.
- Provide guidance on safe online practices.
- Ensure budgets and schedules meet corporate requirements.
- Manage the implementation of security controls across the bank’s it systems.
- Implement security policies and procedures aligned to the risk management framework.
- Guide the implementation of mitigation strategies for identified cybersecurity risks.
- Counsel employees on performance.
- Contribute to employee pay decisions and changes.
- Lead specialists to influence department operations.
- Define jobs and responsibilities when managing a team.
- Own the security strategy for ai service consumption.
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.