AI red teamer vs AI security engineer

An AI red teamer attacks AI systems, with permission, to find how they can be made to fail: leaking data, taking unintended actions or producing content they should refuse. An AI security engineer designs and builds the controls that keep those failures from causing harm. Red teamers produce findings and measurements; engineers produce designs, reviews and controls.

The roles depend on each other. A red team finding is only worth something once an engineer turns it into a fix and a regression test, and an engineer's design is only as good as the strongest attack it was tested against.

A red teamer scopes an engagement, agrees rules of engagement, builds or adapts attacks such as jailbreaks and indirect prompt injection against agents, measures success rates over enough trials to mean something, and writes findings that engineers can act on. Strong red teamers automate: tools such as PyRIT, garak and Inspect exist because one-off manual attempts do not measure anything.

An AI security engineer threat-models features before they ship, decides which controls hold regardless of model behaviour, reviews agent and MCP integrations, secures model supply chains and owns the response when something goes wrong.

Titles blur the line. Anthropic posts Red Team Engineer roles on its Safeguards team and separate offensive security roles in Security Engineering. Microsoft's AI Red Team hires under AI Security Researcher titles. Google DeepMind runs an Agentic Red Team, Scale AI's red team tests frontier models for customers, and the UK AI Security Institute hires red team research engineers and scientists. On the engineering side, look for Agent Security, AI Protection, AI security and product security titles.

Red team interviews test attack methodology, scoping and measurement: how you would test an agent for indirect prompt injection, how you would know an attack worked, and how you would report it. Anthropic's Safeguards posting asks for experience jailbreaking models and testing agentic workflows for prompt injection, plus web application security and the ability to chain vulnerabilities. Expect to discuss authorisation and safe handling of what you find.

Engineering interviews test design and code: threat-modeling a system, choosing and defending controls, and reviewing code for the places untrusted input reaches a dangerous sink.

A penetration test looks for security vulnerabilities within an agreed scope and time. AI red teaming includes that, and also tests model behaviour: whether a system can be pushed into harmful outputs, policy violations or unsafe autonomous actions. Microsoft's AI Red Team, for example, combines security red teamers with responsible AI specialists for this reason.

Choose red teaming if you enjoy breaking things, can be rigorous about measurement and write clearly for the people who must fix what you find. Choose engineering if you prefer building, enjoy design trade-offs and want to own a system's security over time. The foundations are the same for both, and many people move between the roles; the curriculum here serves either path.