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CAD and Artificial Intelligence in Engineering Trainer
WBS Training. Deliver practical, job-relevant training on CAD systems, Generative Design, and the professional use of AI in engineering .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in CAD systems, Generative Design, and the integration of AI in engineering workflows. Capable of delivering effective training and support for mechanical engineering professionals transitioning to modern digital product development.
Highest-signal resume keywords
Mechanical Engineering DegreeProfessional CAD System KnowledgeGenerative AI Solutions ExperienceTechnical Training DeliveryParametric Design Expertise
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
CAD EngineeringGenerative DesignParametric ModelingAI Applications in EngineeringAutomated OptimizationPrompt EngineeringDesign Process OptimizationTechnical EvaluationAI-Generated Results EvaluationDigital Product Development
Soft Skills
CoachingKnowledge TransferCritical ThinkingCommunication
Tools & Technologies
Autodesk InventorSolidWorksCATIAFusionChatGPTMicrosoft CopilotClaudeGeminiPythonPower Automate
Certifications & Qualifications
AEVO Certification
Industry Keywords
Digital TwinsPLMBIMData ProtectionCopyrightResponsible AI UseCloud CAD SystemsVisual Scripting Solutions
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Deliver practical, job-relevant training on CAD systems, Generative Design, and the professional use of AI in engineering
- Support mechanical engineering professionals as they transition to modern digital product development
- Help participants complete design tasks more efficiently with AI
- Teach the effective use of generative AI tools
- Guide participants in critically and professionally evaluating technical solutions and AI-generated results
- Optimize modern CAD and engineering workflows
- Teach the responsible and cost-effective integration of AI into day-to-day professional work
- Guide participants through the digital engineering process—from the initial design task through AI-supported analysis, generative variant development, technical evaluation and optimization, documentation, and practical implementation
- Enable participants to adopt new technologies thoughtfully and successfully
Requirements
What you’ll need- Completed degree or technical training 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-supported features in modern CAD systems, such as Generative Design or automated optimization
- Ability to evaluate AI-generated results from a technically sound perspective and critically question them
- Solid understanding of the opportunities, limitations, risks, and quality requirements associated with generative AI
- Experience delivering technical training 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
- Ability to integrate 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 context
- Experience in coaching, project work, or practice-oriented knowledge transfer
- Ideally, experience with Autodesk Fusion Generative Design or comparable solutions
- Knowledge of Autodesk AI, SolidWorks AI, CATIA 3DEXPERIENCE AI, or similar platforms
- Experience with BIM-supported 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-supported documentation and knowledge management
- Knowledge of modern cloud CAD systems
- AEVO certification or comparable pedagogical qualification is an additional advantage
- Several years of practical experience as a design engineer or development engineer in mechanical engineering
- Active use of modern AI tools in day-to-day engineering work
Benefits
Comp & perks- Individual opportunities for professional and personal development
- Autonomous working environment
- Long-term contractual security
- Skills-based, fair, and reliable assignment planning
- Flexible work from home
- Structured advance planning period of three to nine months
- Virtual networking
- Home-based instruction using Microsoft 365
- Innovative working environment
- Welcoming and supportive workplace culture
- Transparent communication
- Active exchange among trainers
- Digital networking event
- Discounted seminars
- Comprehensive onboarding
- Discount on obtaining the AEVO pedagogical qualification