AI Engineer - Data Scientist - Fixed Term

Om jobbet

Are you passionate about turning Generative AI into real, production-ready solutions that solve meaningful business problems? ASSA ABLOY Entrance Systems is looking for a hands-on AI Engineer to join our Internal Audit function and help scale AI-driven solutions across the organization.

Based in Stockholm, you will play a key role in building and industrializing AI applications, working with modern technologies such as LLMs, RAG systems, and agent-based architectures. You will join an early-stage team where AI is becoming a core capability, giving you the opportunity to shape how intelligent systems are designed, built, and applied in a global business environment.

In this role, you'll thrive in a culture that values engineering excellence, ownership, and continuous learning, empowering you to build a career you can be proud of.

This is initially a one-year fixed-term position, with a strong intention to transition into a permanent role for the right candidate based on performance and business needs.

What you will do as our AI Engineer / Data Scientist

As our AI Engineer, you will focus on building and deploying AI-powered applications, with a strong emphasis on Generative AI and modern AI system architectures. You will take ownership of transforming existing prototypes into robust, production-ready solutions, while contributing to the broader AI capability within the team. Your responsibility will include designing, developing, and deploying AI-powered applications using LLMs, including RAG pipelines and agent-based systems.

You would also:

• Take existing AI proof-of-concepts and evolve them into scalable, production-ready solutions, including developing and maintaining backend services and APIs to expose AI capabilities.
• Build, connect, and manage AI pipelines alongside underlying data pipelines to enable end-to-end intelligent systems.
• Design, deploy, and operate AI solutions on cloud platforms (primarily Azure, with exposure to AWS where relevant).
• Implement LLM-based solutions using prompt engineering, context management, and orchestration techniques.
• Collaborate with stakeholders in Internal Audit and across the business to translate requirements into practical AI solutions.
• Contribute to data analysis, modelling, and exploratory work, and support dashboards or visualizations to communicate insights and monitor performance.

The skills and experience you need

We are looking for someone who has:

• Around 3+ years of hands-on experience building and deploying AI or machine learning solutions, with a focus on delivering real systems in production.
• Practical experience developing AI applications, ideally including Generative AI (LLMs, RAG, or similar).
• Strong programming skills (typically in Python) and experience building production-ready solutions (e.g. APIs, backend services, or pipelines).
• Experience working with cloud platforms such as Azure or AWS.
• Solid understanding of how to connect AI solutions with data pipelines and enterprise data systems.
• Fluency in English (both spoken and written).

The ideal candidate also brings experience in areas such as agent-based systems or advanced AI architectures, as well as familiarity with LLM techniques like prompt engineering, orchestration, or context management. A background in data science, machine learning, or statistical modelling is considered a strong plus, particularly for use cases such as anomaly detection.

Familiarity with MLOps practices, scalable system design, or data visualization tools is beneficial, as is an academic background in a relevant field (e.g. Computer Science, AI, Engineering, or similar).

What we offer

We're passionate about providing amazing opportunities and benefits, so you can continue and progress a lifelong career with us - here's what we have to offer:

• Learning and career development opportunities, whether it's online learning, management training or enhancing your skills.
• A competitive salary
• Hybrid model of working
• Stable employment in a friendly international atmosphere

We review applications regularly, so don't wait.

We are building diverse and inclusive teams and encourage applications from all who can envision themselves working with us.

To ensure that your personal information is secure, we do not review any applications sent via email or post. If you have any questions about the role or the process, please send an email to Khalil Kabakibi, Talent Acquisition Business Partner, at Khalil.kabakibi@assaabloy.com .

Let's together create a safer and more open world!

To find out more about us, visit www.assaabloy.com.