AI-Enabled Engineering Transformation Consultant

Accenture the Netherlands

Eindhoven

Hybrid

EUR 90,000 - 130,000

Full time

3 days ago

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Benefits offered by this job

Unlimited learning

Paid transport

Laptop

Home office setup allowance

Parental leave

Diversity and inclusion programs

Job summary

Accenture Industry X seeks an AI-Native Engineering Transformation Consultant to reinvent engineering through AI, cloud-native tech, and digital transformation. You will combine systems engineering, R&D strategy, and PLM/ALM transformation with hands-on generative AI, agentic coding, and cloud architectures to transform the product development lifecycle.

Responsibilities include embedding AI across workflows, AI-assisted development, cloud deployment, and creating roadmaps with measurable

Qualifications

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.

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.