Key Skills

Job Description

Who We Are At Accenture Industry X we like to do it differently. We embrace change. We reimagine. We transform. How companies design, engineer, manufacture, service and maintain their products. We embed sustainability and bring digital into every part of the company’s enterprise. We create value by strategy and design, unraveling complexities with our approach as a powerful instrument of change. The way we do so is by designing and engineering products, platforms and services that build bridges between users, technology and business needs. Putting people and planet in the center of everything we do to add value to our clients’ businesses. About the Role We are looking for an AI-Native Engineering Transformation Consultant to help leading high-tech clients reinvent their engineering ways of working through AI, cloud-native technologies, and digital engineering transformation. You will combine expertise in systems and industrial engineering, R&D strategy, and PLM/ALM transformation with hands-on knowledge of generative AI, agentic coding, and cloud architectures to transform engineering activities across the product development lifecycle. Key Responsibilities Define strategies and use cases to embed AI across engineering workflows, from requirements management and system architecture to hardware development, testing, and verification. Apply AI to process modeling, systems engineering, requirements analysis, and multidisciplinary product development. Explore AI-assisted and agentic development using tools such as Claude and Cursor to automate engineering tasks, generate code, and improve productivity. Support the integration and deployment of AI solutions using Microsoft Azure or other cloud platforms, connecting AI services with enterprise engineering tools and data. Develop AI adoption roadmaps, target operating models, and business cases to improve engineering efficiency and accelerate innovation. Support transformation initiatives involving Windchill, Teamcenter, CAD tools, and end-to-end engineering traceability. Apply knowledge of system architecture, the V-model, requirements management, hardware product development, and embedded software engineering. Requirements Experience in industrial or systems engineering, digital engineering, R&D transformation, or technology consulting. Understanding of generative AI, agentic workflows, and AI-assisted engineering. Knowledge of cloud-native architectures, Azure, and enterprise AI integration. Experience with PLM/ALM platforms such as Windchill or Teamcenter and engineering CAD environments. Familiarity with requirements management, the V-model, system architecture, hardware development, and embedded systems. Ability to connect strategic business objectives with practical AI solutions and measurable engineering outcomes. Strong communication, analytical, and stakeholder management skills. Available to work in Eindhoven location 2/3 days onsite (Accenture Eindhoven offices and clients) Why Join Accenture Industry X? -Contract: 1-Year contract with potential to be a permanent position -Competitive salary and performance bonuses and other benefits -Connect with our global network of 700.000 colleagues -Unlimited learning: access to thousands of free courses, classes and workshops. -Paid transport (budget for electric bicycle or car, NS-Business card), a laptop, iPhone, and home office setup allowance -Paid leave: Parental leave, Paternity leave for all non-birthing parents, Bereavement leave, and Gender affirmation leave -Many social activities like Friday Drinks, sport events, community events and parties together with the option to spend time on volunteering and do-good initiatives. -And many others 🚀 Ready to make an impact? Apply now! Send your resume to [email protected] Let’s shape the future together!

Core Responsibilities

Develop strategies and use cases for applying AI across engineering workflows, and support AI-assisted and agentic development, cloud integration, and transformation initiatives involving PLM/ALM and engineering tools. Create AI adoption roadmaps, operating models, and business cases while applying systems engineering expertise across product development.

Requirements

Candidates should have experience in industrial or systems engineering, digital engineering, R&D transformation, or technology consulting, with knowledge of generative AI, agentic workflows, cloud architectures, and enterprise AI integration. Familiarity with PLM/ALM platforms, CAD environments, requirements management, the V-model, system architecture, hardware development, and embedded systems is expected, along with strong communication and stakeholder skills.

Benefits

• Competitive Salary
• Performance Bonuses
• Paid Transportation
• Electric Bicycle Or Car Budget
• NS-Business Card
• Laptop
• iPhone
• Home Office Setup Allowance
• Parental Leave
• Paternity Leave
• Bereavement Leave
• Gender Affirmation Leave
• Learning Courses, Classes, And Workshops
• Social And Community Events
• Volunteering Opportunities