Traditional job descriptions are misaligned with AI-era work, where value comes from orchestration and outcomes rather than task execution. This piece outlines how to redesign job descriptions for AI-first and AI-native engineers, covering five structural layers: role purpose, AI context, core capabilities, rewritten responsibilities, and growth expectations. It distinguishes between AI-first roles (using AI as default tooling, validating outputs) and AI-native roles (system design, workflow orchestration, human-AI interaction). Common mistakes include copy-pasting old templates, over-specifying tools, and ignoring AI context entirely. Entry-level roles are highlighted as needing the most significant rewrite, with over 90% of ICT entry-level positions being transformed by AI.
