Trainer for CAD and Artificial Intelligence in Engineering

• Delivering practical, industry-relevant training on CAD systems, Generative Design, and the professional use of AI in engineering
• Supporting engineering professionals from the mechanical engineering sector as they transition to modern digital product development
• Helping participants complete design tasks more efficiently with AI
• Teaching the effective and appropriate use of generative AI tools
• Guiding participants in the critical evaluation of technical solutions and AI-generated results
• Optimizing modern CAD and engineering workflows
• Teaching the responsible and cost-effective integration of AI into everyday professional practice
• Supporting the digital engineering process from the initial design task through AI-assisted analysis, generative variant development, technical evaluation and optimization, documentation, and practical implementation
• Enabling participants to adopt and use new technologies thoughtfully and successfully

• Degree or technical qualification in mechanical engineering, product development, design engineering, or a comparable field
• At least 5 years of professional experience in design engineering, product development, or CAD engineering
• Very good knowledge of at least one professional CAD system, such as Autodesk Inventor, SolidWorks, CATIA, or Fusion
• Practical experience with parametric design and modern CAD workflows
• Strong knowledge of current AI applications in engineering and CAD
• Demonstrable experience using generative AI solutions productively, such as ChatGPT, Microsoft Copilot, Claude, Gemini, or comparable systems
• Experience with AI-assisted features in modern CAD systems, such as Generative Design or automated optimization
• Ability to assess AI-generated results from a sound technical perspective and critically challenge them
• Strong understanding of the opportunities, limitations, risks, and quality requirements associated with generative AI
• Experience teaching technical content to adults or comparable training experience
• Ideally, experience with Generative Design and topology optimization
• Knowledge of current developments in AI for engineering
• Experience analyzing and optimizing design processes
• Knowledge of parametric modeling and automated variant generation
• Experience with Prompt Engineering for technical applications
• Expertise in integrating AI into existing engineering workflows
• Experience evaluating the technical feasibility, manufacturability, and functionality of AI-generated solutions
• Knowledge of data protection, copyright, and responsible AI use in a corporate environment
• Experience in coaching, project work, or practice-oriented knowledge transfer
• Experience with Autodesk Fusion Generative Design or comparable solutions
• Knowledge of Autodesk AI, SolidWorks AI, CATIA 3DEXPERIENCE AI, or similar platforms
• Experience with BIM-based AI applications
• Knowledge of Dynamo, Grasshopper, or other visual scripting solutions
• Experience with automation tools such as Python, Power Automate, or n8n
• Knowledge of digital product development, such as Digital Twin, PLM, or simulation
• Experience with AI-assisted documentation and knowledge management
• Knowledge of modern cloud CAD systems
• AEVO certification or comparable pedagogical qualification

• Individual professional development and potential growth
• Autonomous working environment
• Long-term contract stability
• Competency-based, fair, and reliable assignment planning
• Flexible home-based work
• Structured advance planning period of three to nine months
• Virtual networking
• Home-based teaching using Microsoft 365
• Innovative working environment
• Friendly and supportive workplace culture
• Transparent communication
• Active exchange among trainers
• Digital networking event
• Discounted seminars
• Comprehensive onboarding
• Discount on obtaining the AEVO teaching qualification