Senior AI Engineer

We are looking for a Senior AI Engineer to join the AI CoE in ROCKWOOL HQ in Hedehusene. In this job, you can expect to travel about 10% of the time in support of global projects.

Ready to help build a better future for generations to come?

In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions. 

Your future team

We have recently started a journey towards using AI at scale, general digitalization, automation and better use of data – and this is where your abilities come into play. You will join the AI CoE team and work at the forefront of AI and machine learning. This role reports to the Manager of the AI CoE based in Hedehusene. You will work closely with teams from Denmark, Poland and Malaysia and be an integral part of a larger global Data & AI team.

What you will be doing

We are seeking a talented and experienced Senior AI Engineer with Machine Learning, Generative AI and software development experience. In this role, you will work closely with Data Scientists, ML engineers, Data Engineers and cross-functional stakeholders to design, develop and deploy custom AI products and analytics solutions at ROCKWOOL. You will be part of a growing team that focuses on developing custom AI products & LLM solutions. The role requires a blend of technical and communication skills. More concretely, you will have the following responsibilities:

Develop and deploy AI products & applications

• Use various modern technologies, tools and packages such as Azure OpenAI, LLMs, vector databases, Langchain etc. to engineer AI products at scale

• Maintain custom GenAI products such as in house developed LLM solutions

• Develop and maintain various LLM APIs and backend functionality that supports custom AI products

• Use cloud technologies such as Azure, OpenShift, VertexAI, etc. to support the ML Engineer by contributing to the development of our core AI platform

• Automate infrastructure provisioning (IaC) and CI/CD processes for custom AI workloads

Follow Machine Learning processes and Best Practices

• Develop and maintain best practices and standards for carrying out AI based projects

• Collaboration with the team in identifying areas for improvement and recommend strategies to enhance the data science function in our organization

• Ensure continuous learning and development

• Stay up to date with the latest developments in AI to ensure that our practices are cutting-edge

What you bring

• A master's degree in Computer Science, Data Science, Mathematics, Statistics, or related field

• 5+ years of experience in AI and Data Science and it would be great if you have experience within manufacturing

• 2+ years of experience of working with LLMs, transformer models, vector databases, RAG frameworks, Langchain, etc.

• Excellent skills within Python, SQL, and cloud computing technologies

• Experience with Python packages such as FastAPI, SQLAlchemy and Pydantic

• Hands on experience in deploying models and algorithms into production systems is desirable

• Experience with ML Ops tools and frameworks such as Kubeflow, MLflow, e.g. is desirable

• Experience with Kubernetes and Docker is desirable

• Professional proficiency in the English language

As a person you are curious and solution oriented. You can easily communicate complex content across functions and to non-technical colleagues. Furthermore, you have a structured way of working forward and take pride in delivering high quality output.

ROCKWOOL are keen to nurture employees in developing their talents and move forward in their careers. You can expect to be supported in your professional ambitions through our programs, to help you reach your professional goals.

"Transitioning from a consultant to a full-time position at Rockwool has been a seamless and exciting step in my career. What I value most is the genuine freedom to take ownership of the projects I’m passionate about — and the satisfaction of seeing my work make a real difference across the organization."
Emil - Senior Machine Learning Engineer

Ready to apply?

If you want to know more, please contact Manager of AI CoE Shabab Akhter. Please submit your CV and motivational letter by mid November , 2025.

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