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Safety And Governance Roles

Use this guide if you want to work on AI risk reduction, governance, secure delivery, or the controls that keep powerful systems usable in the real world.

Included Roles

Role Layer Best Fit What Differentiates It
AI Safety / Red Team Engineer Layer 4 adversarial and failure-analysis work breaking systems before real users do
AI Ethics & Governance Lead Cross-cutting policy plus delivery leadership turning principle into organization-level controls
AI Data Governance Manager Cross-cutting data quality, lineage, and compliance ownership operational control of data and retention workflows

Learning Path

Phase 1: Foundation

Complete Part 1 of the Learning Path first.

Phase 2: Shared Core

# Topic Note Priority Est. Time
1 Ethics, safety, and alignment ethics-safety-alignment Must 3h
2 AI regulation ai-regulation Must 2h
3 Adversarial ML and AI security adversarial-ml-and-ai-security Must 3h
4 OWASP LLM Top 10 owasp-llm-top-10 Must 2h
5 LLM evaluation deep dive llm-evaluation-deep-dive Must 3h

Phase 3: Role-Specific Emphasis

Role High-Leverage Notes Why
AI Safety / Red Team Engineer hallucination-detection, agent-evaluation, ai-agents attack paths and behavioral failure modes matter most
AI Ethics & Governance Lead ai-product-management-fundamentals, ai-system-design, system-design-for-ai-interviews governance must map to real delivery decisions
AI Data Governance Manager data-versioning-for-ml, cloud-ml-services lineage, retention, and control surfaces

Phase 4: External Skills

# Skill Recommended Focus Priority
1 Security and threat modeling appsec basics, abuse cases, incident workflow Must
2 Regulatory literacy EU AI Act, NIST AI RMF, sector-specific compliance Must
3 Policy-to-engineering translation turn governance goals into concrete system controls Must

Skills Breakdown

Common Technical Skills

  • risk framing and structured evaluation
  • policy and control mapping to real systems
  • evidence collection through logs, traces, and review processes

Differentiators By Role

  • red-team roles need stronger offensive testing and system breakage instincts
  • governance roles need stronger cross-functional influence and policy fluency
  • data-governance roles need stronger lineage, retention, and operational controls

Soft Skills

  • principled escalation
  • precise writing
  • calm judgment under uncertainty and organizational pressure

Portfolio Project Ideas

Project Description Skills Demonstrated Difficulty
AI release checklist create a lightweight release-control framework with eval gates and security review hooks governance, secure delivery, evaluation Medium
Prompt-injection red-team pack build a catalog of attack prompts, tool-abuse tests, and remediation notes security analysis, adversarial thinking, documentation Medium

Interview Preparation

Review adversarial-ml-and-ai-security, owasp-llm-top-10, ai-regulation, and llm-evaluation-deep-dive.

Common themes:

  • How do you translate a high-level risk principle into a shipping control?
  • What is the difference between policy, evaluation, and enforcement?
  • How do you design a review loop that is strict enough to matter but practical enough to be used?

Sources