Associate Forward Deployed AI Engineer

Job ID:6227

Welcome to Group Technology, where we pride ourselves on engineering solutions and platforms with a direct impact on Nordea's 2030 goals to modernize data technology state and accelerate AI across the organization.

We are looking for a collaborative Associate Forward Deployed AI Engineer (Graduate / Junior Data Scientist), at the start of their tech career, with foundational technical skills and eagerness to learn to join our Forward Deployed AI team at Nordea. You will learn to design and build scalable AI solutions under the guidance of experienced professionals.

Nordea is a place where traditions meet tomorrow. We are not just a bank; we are a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people's daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Start your career making an impact on the banking industry.

This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Gdańsk / Gdynia / Warsaw, Poland, Copenhagen, Denmark, or Stockholm, Sweden. Please note that this position is not part of Nordea's Graduate Program. For more information about our Graduate Program, please visit this link: .

About our team

Meet the Forward Deployed AI team. We are a collaborative and result-driven team working closely with every part of the bank to execute AI use cases. Our deep connections throughout Nordea and trusted reputation enable us to mentor new graduates and transform ambitious AI visions into practical, impactful solutions.

In this role, you will be embedded with the business areas with senior guidance, building strong partnerships and gaining deep domain expertise. This collaboration creates natural pathways for future career development, including potential transitions into business teams where your AI expertise will be highly valued.

What you will be doing

Main responsibilities in this role include, but are not limited to:

• Contribute to the end-to-end delivery of impactful AI applications: architecture, implementation, integration, testing and production rollout.
• Explore emerging AI tools and frameworks with guidance; share insights and assist in building proof-of-concepts to drive AI execution.
• Learn and promote engineering best practices: code review standards, CI/CD, testing strategies and documentation.
• Develop foundational skills and knowledge covering advanced machine learning models and algorithms for various business applications.

Who you are

You will thrive in this role if you are excited to start your career building AI solutions that solve real-world problems and drive meaningful change. You bring a growth mindset, collaborative problem-solving skills and strong communication abilities. We believe the person we are looking for have around three or less years of professional experience and are eager to start their career.

We are looking for recent graduates and final-year students with various academic backgrounds, qualifying for most of the following requirements:

• BSc or MSc in Computer Science, Engineering Physics, Data Science, Statistics, Mathematics, or equivalent academic experience (completed or graduating by summer 2027)
• Academic projects, internships, or personal projects involving implementation of AI/ML concepts
• Good software engineering skills with proficiency in Python and willingness to learn scalable, maintainable coding practices
• Eagerness to learn model implementation and optimization for production use
• Understanding or willingness to learn cloud platforms (AWS, Azure or GCP), particularly AI/ML and data services
• Excellent collaboration skills and enthusiasm for working with diverse teams including data scientists, engineers, and product stakeholders

It would be ideal if you also have:

• Academic interest or coursework in Generative AI and Machine Learning technologies
• Project experience from agile environments or participation in tech-driven transformation projects
• Academic exposure or personal projects with agent development frameworks and harnesses such as LangGraph, Deep Agents, AutoGen, CrewAI or similar, including multi-agent coordination and sub-agent delegation
• Understanding of testing methodologies and interest in learning performance monitoring and maintaining reliability in production environments

We encourage applications from new graduates and final-year students who are passionate about AI and meet most of these criteria. We value diverse perspectives and welcome applicants from all backgrounds who are eager to start their AI careers with us.