Role 07 · Engineering, IT, product, data, and security teams

Technology & IT

Faster delivery with stronger review around production and risk.

Adapt this role
Technology professionals review a system diagram and incident timeline.

The redesign premise

Use AI to investigate, draft, document, and test. Keep architecture, production approval, security tradeoffs, and incident accountability with qualified people.

Four tasks to examine first.

The lane is a starting recommendation. Consequence, evidence, reversibility, and local policy can change the right design.

01

AI-assisted

Investigate an incident

Correlate logs, changes, symptoms, and likely causes.

Human owner
Incident commander
Risk signal
high
Safeguard
Preserve evidence and validate every proposed cause.
02

AI-assisted

Draft code or configuration

Produce a candidate change against explicit requirements.

Human owner
Qualified engineer
Risk signal
medium
Safeguard
Review, test, scan, and understand before merging.
03

Delegated + reviewed

Update routine documentation

Reflect approved changes in known operational documents.

Human owner
Service owner
Risk signal
low
Safeguard
Require a diff and reject unsupported additions.
04

Human-led

Approve production change

Accept the reliability, security, and customer consequences of release.

Human owner
Authorized change owner
Risk signal
high
Safeguard
Use independent checks, rollback criteria, and monitoring.

Skills that become more valuable

Build judgment around the tool.

  1. 01AI-assisted engineering
  2. 02Testing and evaluation
  3. 03Security review
  4. 04Incident command
Explore the skills model

A responsible first pilot

Learn before you scale.

  1. 1Start with documentation and low-risk code assistance.
  2. 2Set test, security, and rollback expectations before use.
  3. 3Measure defects and review effort, not output volume alone.

Measure together

  • Lead time
  • Defect escape
  • Review effort
  • Recovery time

Ground the conversation.

Task and occupation descriptions draw on O*NET. Governance and skill guidance is informed by NIST and the U.S. Department of Labor.

O*NET Database

Occupation, task, skill, work-activity, and work-context foundations

Open source ↗
U.S. Department of Labor AI Literacy Framework

Foundational AI literacy content and delivery principles

Open source ↗
NIST AI Risk Management Framework

Governance, oversight, documentation, and review practices

Open source ↗