Senior Forward Deployed AI Scientist
Nordea is hiring a Senior Forward Deployed AI Scientist. Level rates it ; you can apply on Nordea.
Level's read on this job
- On Level's scale, this forward deployed engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions OpenAI, Claude and LangGraph among its tools and skills.
- Level classes it as a senior role.
- Nordea has 184 other open roles on Level.
AI in this role
Job ID: 3090
Welcome to Group Technology, where we pride ourselves on engineering solutions that directly impact Nordea's 2030 goals to modernize data technology and accelerate AI.
We are looking for a skilled and collaborative Senior Forward Deployed AI Scientist to join our Forward Deployed AI team at Nordea. You will design and build scalable AI solutions, working closely with cross-functional teams to deliver agentic AI applications that drive value across the organization while ensuring ethical and sustainable development practices.
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. Join us in making an impact on the banking industry.
This position is a full-time, permanent role with hybrid working location based in Helsinki, Finland, Stockholm, Sweden, Gdańsk / Gdynia / Warsaw, Poland, or Copenhagen, Denmark.
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 transform ambitious AI visions into practical, impactful solutions.
In this role, you will be embedded with the business areas, 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.
Main responsibilities in this role include, but are not limited to:
- Design, develop, and scale transformative AI applications from concept to production to create technology that makes a real impact.
- Translate ambiguous, open-ended business problems into well-defined machine learning problem statements in close collaboration with engineers and product teams.
- Provide input to the full modeling lifecycle: problem framing, hypothesis formulation, model selection, experimentation, evaluation and iteration.
- Develop and implement advanced machine learning models and agentic solutions for various business applications.
- Explore emerging AI methods; share insights and build proofs of concept applicable to Nordea’s use cases.
Who you are
You will thrive in this role if you are excited to build AI solutions that solve real-world problems and drive meaningful change. You bring a growth mindset, collaborative problem-solving skills and excel at transforming complex technical concepts into clear solutions for both technical and non-technical audiences.
We are looking for someone with most of the following experience and skills:
- BSc, MSc or PhD in Computer Science, Engineering Physics, Data Science, Statistics, or equivalent practical experience
- Strong software engineering fundamentals and proficiency in Python, with minimum 3 years of hands-on experience developing and deploying AI/ML solutions in production environments
- Hands-on experience with cloud platforms (AWS, Azure or GCP), with a focus on deploying and operating AI/ML and data services at scale
- Deep understanding of machine learning and statistics, with the ability to turn a business problem into a modelling one
- Strong communication skills with the ability to explain complex technical concepts to both technical teams and business stakeholders
- Excellent collaboration skills and experience working with diverse teams including data scientists, engineers, and product stakeholders
It would be ideal if you also have:
- Knowledge of agent testing methodologies, performance monitoring and maintaining agent reliability in production environments
- Experience using agentic AI tools like Claude Code/Cowork, OpenAI Codex
- Experience working in agile environments or tech-driven transformation projects
- Familiarity with agent development frameworks and harnesses such as LangGraph, Deep Agents, AutoGen, CrewAI or similar, including multi-agent coordination and sub-agent delegation
- Professional experience from working in regulated industries, e.g. banking, government, etc.
We encourage applications from candidates who are passionate about AI and meet most of these criteria. We value diverse perspectives and welcome applicants from all backgrounds.
If this sounds like you, get in touch!
Next steps
We kindly ask you to submit your application as soon as possible, but no later than 30/11/2026. Any applications or CVs sent by email, direct messages, or any other channel than our application forms, will not be accepted or considered.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics, and traits make us better at serving our customers and communities.
Only for candidates in Finland: A security clearance will be performed for the person selected for this position.
Only for candidates in Sweden: For union information, please contact finansforbundet@nordea.se or SACONordea@nordea.com.
Only for candidates in Poland: Please include permit for processing personal data in CV as following:
In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.
The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf
We reserve the right to reply only to selected applications.
How we rate this
Senior Forward Deployed AI Scientist at Nordea rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- Typical forward deployed engineer job
- $180k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- What's a project where you used OpenAI hands-on?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used CrewAI hands-on?
- Walk me through how you've used AutoGen in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: OpenAI, Claude, LangGraph, CrewAI, and AutoGen. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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