Trainer for CAD and Artificial Intelligence in Engineering

• Teach the fundamentals and potential of AI in engineering
• Teach AI-supported working methods in the design process
• Teach modern CAD workflows with AI support
• Teach Generative Design and automated design variant generation
• Teach AI-supported decision-making in product development
• Teach AI-based error detection and quality assurance
• Teach the assessment and validation of AI-generated design results
• Teach the successful integration of AI into existing development and design processes
• Deliver practical, accessible, and audience-focused training for the “Smart Design: AI Skills for CAD Professionals” qualification
• Clearly explain where AI creates genuine added value in the design cycle and where technical expertise remains essential

• Completed degree or technical training in mechanical engineering, design engineering, product development, or a comparable field
• At least two years of professional experience in design, development, or technical engineering
• Very good knowledge of at least one of the following CAD systems: Autodesk Inventor, Autodesk Fusion, AutoCAD, SolidWorks, or CATIA
• Experience with parametric design and modern CAD workflows
• Sound understanding of product development and design processes in mechanical engineering
• Practical experience using AI productively throughout the development and design process
• Experience in requirements analysis and concept development
• Experience developing technical solutions
• Experience in design and modeling
• Experience with generative design variant development
• Experience optimizing components and assemblies
• Experience technically evaluating solution variants
• Experience with error detection and quality improvement
• Experience preparing technical documentation, specifications, and bills of materials
• Experience using generative AI systems such as Microsoft Copilot, ChatGPT, or comparable solutions
• Ability to professionally evaluate AI-generated results with regard to functionality, feasibility, manufacturability, and cost-effectiveness
• Preferred: Experience with AI features in modern CAD systems
• Preferred: Experience with Generative Design and topology optimization
• Preferred: Knowledge of current developments in AI for design and engineering
• Preferred: Experience optimizing development and design processes
• Preferred: Knowledge of parametric variant design
• Preferred: Experience with prompt engineering for technical applications
• Preferred: Knowledge of data protection, copyright, and responsible AI use in a corporate environment
• Preferred: Experience supporting practical projects or workshops
• Advantageous: Experience with Autodesk Fusion Generative Design or comparable solutions
• Advantageous: Knowledge of Autodesk AI, SolidWorks AI, or CATIA 3DEXPERIENCE AI
• Advantageous: Experience with AI-supported error detection and quality assurance
• Advantageous: Experience with automated design variant development
• Advantageous: Experience with rule-based design methods or CAD automation
• Advantageous: Knowledge of simulation, digital engineering, or digital twins
• Advantageous: Trainer aptitude certification (AEVO) or comparable educational qualification
• Research expertise in artificial intelligence or a specialization in software development is not required; practical experience in mechanical engineering and productive use of AI in real-world design and development processes are what matter

• Individual professional development
• Independent work
• Long-term contractual security
• Skills-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 work environment
• Friendly and supportive team culture
• Transparent communication
• Active exchange among trainers and digital networking events
• Discounted seminars
• Intensive onboarding
• Discount toward obtaining the trainer aptitude certification (AEVO)