AI Team Lead
Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 28, 2026.
We are looking for an AI Team Lead 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 an AI Team Lead to lead a team of up to 10 AI Engineers, Data Scientists, AI Platform Engineers, and student assistants. The team develops AI products and shared AI capabilities, taking solutions from experimentation through production and ongoing improvement. The role combines people leadership with technical judgment and delivery responsibility. You will work closely with the Product Manager and with other Team Leads across the AI Center of Excellence (AI CoE) to align delivery, share expertise, and build consistent ways of working. More concretely, the team lead will have following responsibilities:
- Lead, coach, and develop the team, including regular feedback, performance reviews, and skills development.
- Plan team capacity and organize delivery against priorities agreed with the Product Manager. Make dependencies, risks, and trade-offs visible early.
- Collaborate closely with other AI CoE Team Leads on shared priorities, cross-team dependencies, technical standards, and the development of people and capabilities across the CoE.
- Guide the team in designing, building, testing, and deploying AI products and reusable platform capabilities.
- Establish engineering practices for code quality, evaluation, documentation, deployment, and maintainability, in alignment with practices across the AI CoE.
- Ensure production solutions are monitored and improved for reliability, performance, quality, and cost.
- Ensure the team applies corporate requirements for approved AI models and tools, information security, data protection, and responsible AI. Work with the relevant governance and security teams when risks require review.
- Coordinate technical work across architecture, data, enterprise integration, security, operations, and business teams.
- Support the Product Manager with technical input for roadmaps, stakeholder discussions, estimates, and vendor management.
- Provide hands-on technical guidance where needed while enabling specialists in the team to own their areas of expertise.
What you bring
- A master's degree in Management, Business related fields with technical blend while a degree in computer science, Data Science, Mathematics, Statistics, or related field is preferred
- 5+ years of experience in AI and it would be great if you have experience with either the manufacturing industry or with GenAI. At least 2 years of experience in a people management role.
- Must be fluent with making Powerpoints and presenting to senior stakeholders
- Experienced with managing AI Engineers, Data Scientists, etc.
- Knowledge of technologies such as Python, Azure, GCP, OpenShift, Kubernetes, SQL, and various other modern AI related technologies
- 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
- Professional in English language
As a person you are curious, structured, and solution-oriented. You create clarity for a multidisciplinary team and help people grow. You enjoy working with fellow leaders to solve problems that span teams and to strengthen the AI CoE. You can explain technical choices and delivery risks to non-technical colleagues and senior stakeholders. You balance experimentation with the discipline needed to run dependable AI solutions in an enterprise environment.
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.
Ready to apply?
If you want to know more, please contact Manager of AI CoE Shabab Akhter, [email protected]. Please submit your CV and motivational letter before October 15, 2026.
Who we are
We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities, all focused on one common purpose - to release the natural power of stone to enrich modern living.
Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.
Diverse and Inclusive Culture
We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees.