FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
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 guiding professionals in the evaluation and optimization of AI-generated solutions.
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 EngineeringTechnical EvaluationAutomated OptimizationPrompt EngineeringDesign Process OptimizationAI-Assisted FeaturesDigital Product Development
Soft Skills
CoachingCritical EvaluationKnowledge TransferCommunicationProblem Solving
Tools & Technologies
Autodesk InventorSolidWorksCATIAFusionChatGPTMicrosoft CopilotClaudeGeminiPythonPower Automate
Certifications & Qualifications
AEVO Certification
Industry Keywords
Digital TwinsPLMSimulationBIM-based AI ApplicationsData ProtectionCopyrightResponsible AI UseModern CAD WorkflowsAI-Assisted DocumentationCloud CAD Systems
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Delivering practical, job-relevant training on CAD systems, Generative Design, and the professional use of AI in engineering
- Supporting mechanical engineering professionals on their path toward modern digital product development
- Helping participants complete design tasks more efficiently with AI assistance
- Teaching the effective and appropriate use of generative AI tools
- Guiding participants in the critical evaluation of AI-generated technical solutions
- Optimizing modern CAD and engineering workflows
- Supporting the responsible and cost-effective integration of AI into everyday professional work
- Guiding participants through the digital engineering process—from the design task and AI-supported analysis through generative variant development, technical evaluation and optimization, documentation, and practical implementation
- Enabling participants to use new technologies thoughtfully and successfully
Requirements
What you’ll need- University 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
- 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
- Proven 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 on a sound technical basis and critically challenge them
- Strong 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
- 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
- Preferred: Experience with Autodesk Fusion Generative Design or comparable solutions
- Preferred: Knowledge of Autodesk AI, SolidWorks AI, CATIA 3DEXPERIENCE AI, or similar platforms
- Preferred: Experience with BIM-based AI applications
- Preferred: Knowledge of Dynamo, Grasshopper, or other visual scripting solutions
- Preferred: Experience with automation tools such as Python, Power Automate, or n8n
- Preferred: Knowledge of digital product development, such as Digital Twins, PLM, or simulation
- Preferred: Experience with AI-assisted documentation and knowledge management
- Preferred: Knowledge of modern cloud CAD systems
- Preferred: AEVO certification or comparable educational qualification
- 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 professional development
- Autonomous working environment
- Long-term contractual stability
- Skills-based, fair, and secure assignment planning
- Flexible home-office work
- Structured planning period of three to nine months
- Remote instruction using Microsoft 365
- Innovative working environment
- Welcoming team culture
- Transparent communication
- Active exchange among trainers
- Digital networking event
- Discounted seminars
- Comprehensive onboarding
- Discount on obtaining the AEVO educational aptitude certification