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Salary
≈ $60k – $101k per year (Estimated)
Location
In office (Poznań, Warsaw)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 2, 2026.

Overview
Company
Impact
Profile match
Rockwool is a Danish multinational manufacturer of stone wool products headquartered in Hedehusene near Copenhagen, producing building insulation, industrial and technical insulation, acoustic ceilings, cladding, horticultural substrates and rainwater systems. Listed on Nasdaq Copenhagen, the ROCKWOOL Group operates factories and offices across Europe, North America and Asia, including plants in Poland, Germany, the Netherlands, Byhalia in Mississippi, Canada, India and Malaysia, and a shared services hub in Poznań. Its board hires production team leads, engineering managers, SAP and BI developers, IT project managers, supply chain specialists, technical sales staff and apprentices.

We are looking for a Senior AI Engineer to join the AI CoE in ROCKWOOL, the role can be based in either Warsaw or Poznań. 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 world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work with dedication to enrich modern living through our innovative stone wool solutions.

Join us and make a meaningful difference!

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 Team Lead of the AI CoE with most of the team in Poznan office. 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 Azure OpenAI, LLMs, vector databases, Langchain etc. to engineer AI products at scale
  • Maintain custom GenAI products such as in house developed LLM solution.
  • 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 English

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.

What we offer

By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan’s city center in the new prestigious office building - Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities.

Our compensation package on employment contracts includes:

  • An office-first approach: home office is available up to 2 days per week
  • Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM
  • Home office subsidy
  • Private Medical Care
  • Multikafeteria MyBenefit
  • Wellbeing program
  • Extra Day Off for voluntary activities

… and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit.

Interested?

If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV and motivational letter written in English.

Who we are

At ROCKWOOL, everything we do is based on releasing the natural power of stone to enrich modern living. We help our customers and communities tackle many of today’s biggest sustainability and development challenges, from energy consumption and noise pollution to fire resilience, water scarcity and flooding. Our product range reflects the diversity of the world’s needs, while supporting our stakeholders in reducing their own carbon footprint.

Stone wool is a recyclable, versatile material that forms the basis of all our businesses. With ~11,800 dedicated colleagues in 37 countries and sales in more than 120, we are the world leader in stone wool products, from building insulation to acoustic ceilings, external cladding systems to horticultural solutions, customised stone wool insulation components for other manufacturers’ products and systems (OEM), to insulation for the process industry and marine & offshore.

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 (SDGs) 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 ROCKWOOL 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.

At ROCKWOOL, you will experience a friendly team environment. Our culture is very important to us. In fact, we refer to our culture as “The ROCKWOOL Way”. This is the foundation in which we operate and is based upon our values of ambition, responsibility, integrity and efficiency.

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