Trainer for CAD and Artificial Intelligence in Engineering

Job not on LinkedIn

🕒 September 25

🇩🇪 Germany – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 52 days.
• No salary listed.

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WBS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

💼 Consulting

⚡ Energy

Consulting • Energy

WBS é uma empresa baiana, fundada em julho de 1998, por quatro ex-funcionários da Promon Engenharia. Inicialmente atendendo principais empresas da área química e petroquímica com base no Polo Petroquímico de Camaçari, na Bahia, hoje mantém uma carteira de clientes que inclui grandes nomes como a Petrobras e Braskem. Atualmente, possui filiais em Camaçari, São Francisco do Conde, Candeias e São Paulo, com operações em Pernambuco, Rio de Janeiro, Paraná, Santa Catarina e Rio Grande do Sul.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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