Job ID: 4459

We are seeking an experienced and highly hands-on Agentic Business Engineer to design, build, and operationalize agentic AI solutions that solve real business problems in Asset & Wealth Management (AWM). You will work at the intersection of business transformation and advanced AI engineering – translating business needs into robust, well-governed agentic applications that can be safely deployed in a regulated banking environment.

About our team

The AWM Chief Operating Office (COO) drives operational excellence, supports business transformation, and fosters innovation across Asset & Wealth Management. We focus on improving processes, leveraging technology, and ensuring strong governance and compliance – enabling sustainable growth and superior client experiences. The COO team collaborates across business, technology, and control functions to identify opportunities and deliver measurable impact. The AWM AI team is being established in AWM COO to accelerate delivery and scale of AI capabilities across AWM, with a strong focus on Private Banking and selected cross-area dependencies. We build common AI architecture and reusable patterns, support a disciplined governance model, and partner closely with business units, engineering teams, and control functions to turn an active AI pipeline into measurable outcomes.

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

• Own delivery from idea to production: frame business problems, shape agentic AI solution designs, prototype quickly, and industrialize into production-ready services with measurable outcomes.

• Build agentic AI applications: design and implement agents that can reason, plan, use tools, and interact with enterprise systems (e.g., advisor tooling, analytics platforms, internal APIs).

• Partner with stakeholders end-to-end: collaborate with Private Banking/AWM business leaders, architects, engineers, and control functions to ensure solutions deliver real value and can be adopted at scale.

• Engineer for governance and safety: implement evaluation strategies, guardrails, and human-in-the-loop patterns suitable for regulated banking environments (privacy, auditability, model risk expectations).

• Enable reuse and scale: build reusable patterns, components, and reference implementations to accelerate delivery across a portfolio of use cases.

• Operate and improve: monitor agent behavior in production, iterate on prompts/tools/logic based on evals and feedback, and continuously improve quality, cost, latency, and safety.

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us. This is the right role for you if you are a curious, outcome-driven and pragmatic senior data scientist who can take ownership, influence stakeholders, and raise modelling and engineering standards while delivering working solutions at pace.

Your background and skills include:

• Are a curious, innovative team player with a can-do attitude, always looking for ways on how we can unlock the next level for our customers.

• Hands-on agentic AI experience, including designing and building agent workflows (planner–executor, tool calling, multi-agent, human-in-the-loop).

• Strong LLM ops and evaluation mindset: quality/correctness, latency, cost, and safety; ability to define test sets and run disciplined experimentation.

• Guardrails and Responsible AI experience: input/output validation, prompt safety, data leakage prevention, and controls appropriate for regulated environments.

• Strong software engineering skills with Python (modular design, testing, version control) and comfort working in notebook-based experimentation.

• Cloud and integration experience: deploying AI services in AWS, integrating via REST APIs, and familiarity with containerisation/Kubernetes and CI/CD. Data/analytics platform experience (e.g., Snowflake) for grounding, retrieval, and context management. Business engineering strength: ability to translate stakeholder needs into solution requirements, KPIs, and adoption plans; strong communication and collaboration skills.

Why join

You will join a team building practical, high-impact AI capabilities across AWM – working on real advisor and operational workflows, with strong visibility and a clear focus on measurable outcomes.

You will help shape how we build, govern, and scale agentic AI in a Nordic, regulated banking context.

If you are passionate about agentic AI and eager to make a tangible impact in AWM, we invite you to apply and join our innovative COO team.

Next steps

Submit your application no later than 07/11/2026. For more information, you’re welcome to contact Naja Nalapurakkal at naja.nalapurakkal@nordea.com

We enable dreams and aspirations for a greater good.

We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates.

We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges.

We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.

We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us.

Studies show that members of underrepresented communities don’t apply for jobs unless they tick all the qualification boxes. If this is part of why you hesitate to apply, we would like you to reconsider and give it a chance. Maybe your profile fits our needs much better than you think.