Senior Digital Architect —— AI Coding推广负责人

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1. 01

   AI Coding Strategy and System Planning Develop the company's AI Coding transformation strategy and implementation roadmap, defining phased goals and execution paths Establish AI Coding-related standards, specifications, and processes covering the entire R&D lifecycle including code generation, code review, test case generation, and documentation generation Build an AI Coding efficiency measurement system to quantify R&D efficiency improvements and cost savings brought by AI -1

2. 02

   AI Coding Platform Construction and Optimization Responsible for the selection, introduction, customization, and optimization of AI Coding toolchains, including code generation assistants, intelligent IDE plugins, AI testing tools, and AI documentation tools Integrate with the company's existing R&D systems (code hosting, CI/CD, project management, etc.) to achieve seamless integration of AI capabilities with existing R&D processes Continuously track technological developments in the AI Coding field, introduce advanced technologies and tools, and maintain the company's leading position in AI R&D capabilities within the industry -1

3. 03

   Company-wide AI Coding Promotion and Implementation Develop AI Coding promotion plans, and conduct technical training, evangelism, and best practice sharing for different technical teams Establish an AI Coding pilot mechanism, prioritizing implementation in key teams, then promoting company-wide after summarizing experiences Resolve issues encountered by teams during AI Coding implementation, provide technical support and guidance, and improve team adoption rates and recognition -1

4. 04

   Efficiency Improvement and Cost Optimization Track AI Coding implementation results, continuously optimize promotion strategies, and achieve the overall goals of increasing R&D efficiency by 30%+ and reducing labor costs by 20%+ Establish an AI Coding knowledge and sharing mechanism to accumulate reusable AI Prompt templates, best practices, and solutions Manage costs related to AI Coding, including tool procurement costs and computing power costs, to maximize return on investment -1

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1. 01

   Education and Professional Background Bachelor's degree or above in Computer Science, Software Engineering, or related fields 3+ years of relevant work experience in R&D efficiency, DevOps, or technical management, with priority given to candidates with AI Coding promotion and implementation experience -1

2. 02

   Professional Technical Competencies In-depth understanding of the entire software development process, with practical software development experience, and proficiency in at least one mainstream programming language (Java/Go/Python, etc.) In-depth understanding of the AI Coding field, familiar with the usage and principles of mainstream AI code generation tools (GitHub Copilot, Doubao Programming Assistant, CodeLlama, etc.) Knowledge of large language model-related technologies, with preference given to candidates with Prompt engineering experience and LLM application development experience Familiarity with R&D efficiency measurement systems, able to quantify efficiency improvement effects through data -1

3. 03

   Competency Requirements Strong cross-departmental communication, coordination, and promotion abilities, able to drive the implementation of new work models company-wide Excellent technical evangelism skills, able to explain the value and usage of AI Coding to technical personnel at different levels Strong learning ability, able to quickly keep up with the latest technological developments in the AI field Results-oriented, with strong project management abilities, able to lead the team to achieve implementation goals We'd love to receive and review your application. Please feel free to follow Volvo Cars Recruitment Wechat Account (沃尔沃汽车招聘微信公众号) If you want to know more information.