R&D AI Strategy
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This position combines strategic AI understanding with strong execution and coding capability. Its core purpose is to conduct systematic research on AI PMT-landscapes, translate technological insights into actionable strategies, and drive the effective deployment of AI PMT-solutions aligned with the division's strategic priorities and the company's overall objectives.
- Oversee AI tech. market maturity; develop quantitative scoring framework, pinpoint TOP high-potential techs to fuel R&D value creation.
- Design & orchestrate the VW R&D's AI Roadmap & iteration; define TOP core scenarios and phased milestones with clear success metrics.
- Design AI strategic alignment evaluation system with weighted indicators; update R&D AI demand radar to prioritize high-impact needs from critical BU.
- Steer V-model AI deployment strategies; combine expert-level coding capability with the ability to drive AI adoption across teams in product development environments.
- Lead systematic AI landscape & business value research; deliver strategic reports with actionable insights, overseeing high closure efficiency.
- Curate TOP cutting-edge AI innovations; conduct feasibility assessments, champion key R&D pilots annually with clear measurable success benchmarks.
- Establish strategic AI evaluation system (R&D efficiency, cost optimization); track pilot KPIs to ensure core projects achieve predefined measurable ROI.
- Acts as the technical lead for hands-on AI Implementation and solution development with deep technical guidance on AI in designing, coding and deploying AI solution.
- Collaborate strategically with finance on annual AI budget; estimate tech. deployment/tooling/pilot costs, analyzing financial return of AI project.
- Synergize with critical R&D BUs, aggregate AI demand insights, facilitate cross-functional reviews, prioritize initiatives by strategic alignment.
Master's degree or above in Computer Science, Artificial Intelligence, Data Science, Business analysis or related technical disciplines or bachelor's degree with exceptional professional experience.
Minimum 4 years of professional experience in AI technology research, development, or strategic management; at least 3 years of experience in AI/strategy area within the automotive R&D industry.
- Profound knowledge of AI technology system (incl. genAI, machine learning, deep learning, etc.) and proven hands-on AI coding expertise
- In-depth understanding of automotive R&D processes and technical architecture
- Familiarity with China's AI-related laws, regulations, and compliance standards
- Solid grasp of enterprise-level technology strategic planning and value conversion logic
- Expertise in AI technology selection, feasibility evaluation, and strategic roadmap formulation
- Strong cross-functional collaboration and resource integration capabilities to drive cross-department
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