AI Security Engineer. The role, the market signal, and how to build it in your org.
Secures the AI layer: prompt injection, model supply chain, agent permissions and data boundaries. And points AI at security work itself. Surfacing across 21 companies from frontier labs to Big 4 advisory as every deployed agent becomes an attack surface.
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.
33 postings · 30 distinct titles · from 264,613 real job postings · see the live data →
What the postings ask this role to do
868 tasks extracted from real AI Security Engineer job descriptions, classified Automate / Augment / Human-only. Only 2.1% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.
- 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 own, then connect those responsibilities to practice and assessment.