Identify and develop AI/GenAI use cases in eDrive engineering, covering system development, software, simulation, testing, validation and engineering project management.
Analyze engineering requirements and translate them into AI/GenAI solutions, workflows and technical requirements.
Develop and deploy AI solutions using AI Agents, LLMs, machine learning and data-driven approaches to improve engineering efficiency, quality and product development.
Drive AI-enabled engineering automation, such as intelligent requirement analysis, code/document generation, project tracking, risk prediction and engineering data analysis.
Lead AI projects from use case exploration, prototype development to deployment and industrialization, collaborating with engineering, IT and global AI teams.
Establish reusable AI tools, workflows and best practices and drive their adoption across eDrive engineering.
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