知识治理与建模专家
Core
Transforming organizational implicit engineering experience (design decisions, troubleshooting paths, SOPs) into explicit, structured, AI-executable knowledge assets to support the full lifecycle of AI Coding.
Role type
Senior IC Knowledge Engineering Expert (AI Systems)
Builds
Knowledge supply systems for AI agents, structured documentation layers, and automated code-knowledge synchronization pipelines.
Domain
AI Engineering / Software Development Lifecycle
Deliverable
production ML models
Required skills
Knowledge engineering, technical documentation engineering, developer experience, AI engineering, abstraction, structured thinking, code literacy
Preferred skills
Harness Engineering, AGENTS.md/CLAUDE.md practices, knowledge graphs, expert systems, RAG systems, open-source documentation platforms
Technologies
Git Hooks, AI Coding toolchains, Linters, State machines
Responsibilities
Capture and structure senior engineer experiences into reusable assets; Design and maintain hierarchical documentation systems for AI readability; Automate code-to-document synchronization and manage knowledge entropy; Convert implicit experience into hard constraints and feedback loops for AI self-healing.