资深 AI 研发效能架构师（J100453）
Core
Designing an AI engineering operating system to standardize AI consumption, build context/memory systems, orchestrate multi-agent workflows, and enforce AI risk governance across the organization.
Role type
Senior AI Engineering Architecture Lead
Builds
Enterprise-grade AI engineering platform, global spec/skill libraries, unified evaluation frameworks, and end-to-end agent pipelines
Domain
AI Engineering / Software Development Infrastructure
Deliverable
production ML models
Required skills
AI engineering platform architecture, multi-agent workflow orchestration, AI risk governance, system abstraction, cross-functional standardization, CI/CD infrastructure, automated testing infrastructure, large language model (LLM) capability boundaries
Preferred skills
Experience with Claude Code and Cursor, building model+memory+workflow+evaluation loops, prior experience at top-tier internet companies
Technologies
Claude Code, Cursor, LLMs, Agent frameworks
Responsibilities
Define enterprise-wide AI consumption standards and design token specifications; Build global spec libraries, skill asset repositories, and golden datasets; Design end-to-end agent pipelines integrating external tools and self-developed agents; Establish AI behavior boundaries, hallucination interception, and automated code quality gates; Drive organizational evolution toward AI-native engineering practices