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Role guides

Roles in AI-assisted work

Use these guides to discuss what people do, check and own as your team works with AI agents.

HELM 1.0.1 · Updated

Start with the work

When an agent takes on part of a task, review the responsibilities around it. Who provides the context? Who checks the result? Who decides whether it is ready to use?

The roles below are starting points for that conversation. Adapt the responsibilities to your team’s work, workload and risk. Related responsibilities may sit with the same person.

The six principles explain HELM’s approach. Use the Practitioner Guide for day-to-day work and the Leadership Guidefor team decisions and learning.

Three questions for your team

Choose a recent task and discuss the checks, expertise and results it needed.

01

Who checks the work?

Give reviewers the context and time to judge the result. Agree which checks are needed before the work is used or shared.

02

Where is expertise needed?

A task may cross several parts of the product. Identify who can judge each part and involve them when a change needs their skills.

03

Did the result help?

Look at the effect on users alongside delivery volume, quality and effort. More output alone does not show that work improved.

Responsibilities

How the role guides connect

Role guideRelated HELM responsibilitiesFocus
Software EngineerBackend Engineer, Full-Stack EngineerProduct EngineerBuild, review and maintain software with AI agents
Staff / Principal EngineerPrincipal Engineer, Solutions ArchitectAI ArchitectSet technical direction and clear boundaries for agent-assisted work
Engineering ManagerDevelopment Manager, Team LeadEngineering ManagerSupport team learning and review the results of agent-assisted work
SRE / DevOps EngineerDevOps Engineer, Infrastructure EngineerAI Reliability EngineerMonitor agent behavior, cost and recovery alongside service reliability
QA Engineer / SDETSDET, QA Lead, Test EngineerQA Engineer + Evaluation LeadCheck agent output and the product people use
Platform / Infrastructure EngineerInfrastructure Engineer, DevOps EngineerPlatform EngineerProvide dependable shared tools for agent-assisted work
Product ManagerProduct Owner, Business AnalystProduct ManagerMake goals clear and help your team build what users need
Product DesignerUI Designer, Product Designer, Interaction DesignerProduct DesignerDesign clear experiences and review agent-generated interfaces

Shared skills

Five skills to practice together

Use the same five competencies across roles. The examples and practice activities change with the work.

For simple explanations and everyday examples, explore shared skills for working with AI.

Judgment

Choose a useful outcome and the simplest approach. Decide what to delegate and when a person needs to step in.

Communication

Give people and agents the goal, context, constraints and a clear idea of a good result.

Evaluation

Check AI-assisted work against facts and requirements. Make uncertainty visible.

Ownership

Take responsibility for the work you use or share. Respect decision boundaries and follow through on problems.

Learning

Use feedback to improve, practice the skills you need to check agent work, and share useful lessons.