Trainer for CAD and Artificial Intelligence in Engineering

• Delivering practical knowledge of CAD systems, Generative Design, and the professional use of AI in engineering
• Supporting engineering professionals from the mechanical engineering sector on their path toward modern digital product development
• Helping participants complete design tasks efficiently with AI assistance
• Teaching the effective use of generative AI tools
• Guiding participants in the critical professional evaluation of technical solutions and AI-generated results
• Optimizing modern CAD and engineering workflows
• Teaching the responsible and cost-effective integration of AI into day-to-day professional work
• Supporting the digital engineering process from the initial design task through AI-assisted analysis, generative variant development, technical evaluation and optimization, documentation, and transfer into professional practice
• Delivering technical content to adult learners in a practical, accessible, and engaging manner

• Completed 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
• Excellent 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
• In-depth 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 evaluate AI-generated results with sound technical judgment and challenge them critically
• Strong understanding of the opportunities, limitations, risks, and quality requirements associated with generative AI
• Experience delivering technical training to adults or comparable training experience
• Experience with Generative Design and topology optimization is preferred
• 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
• Ability to integrate AI into existing engineering workflows
• Experience assessing the technical feasibility, manufacturability, and functionality of AI-generated solutions
• Knowledge of data protection, copyright, and the responsible use of AI 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 Twins, 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
• Autonomous working
• Long-term contractual security
• Competence-based, fair, and reliable assignment planning
• Flexible home-based work
• Structured planning period of three to nine months
• Virtual networking
• Teaching from a home office using Microsoft 365
• Innovative working environment
• Friendly and supportive team culture
• Transparent communication
• Active exchange among trainers
• Digital networking event
• Discounted seminars
• Comprehensive onboarding
• Discount on obtaining the pedagogical qualification (AEVO)