THE ROLE OF THE AI HARNESS ENGINEER

CHAPTER SUMMARY A harness engineer builds, watches, tests, protects, and explains the system around a model. The job needs software engineering skills and AI-specific knowledge together, as the slow-agent example shows. Prompt engineers shape instruction wording, machine-learning engineers work on the models, and platform teams run shared infrastructure, while the harness engineer makes the whole agent dependable. KEY TERMS REVIEW Harness engineer: a person who builds the dependable system around a model. Prompt engineer: a person who crafts the wording of instructions to a model. Machine-learning engineer: a person who trains, tunes, and measures models. Platform team: a team that runs shared infrastructure for other teams. Handoff document: a written guide that lets a new person take over a component.