AI Adoption Lead For R&D

In this role, you will lead the acceleration of R&Ds adoption of Artificial Intelligence to improve efficiency, quality, and speed across engineering processes. You will enable AI integration in software and hardware design, verification & validation, and reporting-turning innovative concepts into everyday engineering practice. Your mission is to ensure scalable, sustainable adoption across all R&D workflows. As a central enabler and connector, you will operate in a highly collaborative global environment, working closely with multiple R&D sites, functions, and disciplines. You will drive alignment and consistency across our worldwide organization, helping to redefine processes, tools, and ways of working.

The work model for the role is hybrid. #LI-hybrid

This is a global role the preferred locations are Sweden, China, Germany, India or Spain.

Your responsibilities:

• Own and execute the global R&D AI/tooling roadmap

  
  , translating high-impact AI opportunities across software, hardware, testing, and reporting into scalable engineering capabilities

• Drive adoption across all global sites, embedding AI into engineering workflows, tools, processes, and standards with measurable business impact

• Build the cross-site operating model for AI by connecting engineers, process owners, and tool experts to share knowledge, reuse solutions, establish best practices, and accelerate progress globally

• Establish governance frameworks and metrics to track AI adoption, impact on engineering efficiency, and quality improvements across R&D

• Lead organizational change and adoption readiness initiatives, ensuring smooth transition to AI-enabled ways of working and addressing stakeholder needs across cultures and functions

Qualifications for the role

• Masters or Bachelors degree in engineering (or equivalent), with 5+ years in transformation or process improvement roles within R&D or engineering environments

• Knowledge of AI technologies, including LLM agent-based and autonomous tools, with programming skills in Python, Java, or C++ considered a strong advantage

• Proven experience introducing new ways of working, digital tools, and continuous improvement initiatives at scale - with solid knowledge of digital engineering ecosystems such as DevOps, CAD, and PLM

• Demonstrated effectiveness in global, multicultural, cross-site environments with strong stakeholder management and communication skills

• Analytical mindset focused on delivering measurable business outcomes, with the ability to connect strategy to day-to-day engineering practice

More about us

Youll be part of a global R&D Operations organization dedicated to improving engineering efficiency through process excellence, tools, and innovation. Our mission is to reduce time to market, eliminate inefficiencies, and enhance quality across the entire product lifecycle. This is a unique opportunity to shape how AI transforms R&D at scale-driving sustainable change that impacts how thousands of engineers work globally.