Senior Full Stack Developer / AI Engineer - BRB AI Hub

Shape the future at SEB! Design and build transformative AI solutions across the full stack, with real influence, driving innovation that supports our employees and enhances efficiency within a progressive tech environment.

SEB is more than a bank. We are a technology-driven financial institution where everything starts from our customer needs and business outcomes. AI, data and modern engineering are natural parts of how we work, build and deliver value. From core banking platforms to agentic AI, automation, cybersecurity and cloud, we offer a broad tech landscape and many paths to grow. Together, we are shaping secure, responsible, and future-proof solutions for our customers and society.  

About the role

This is a senior role. You will influence the technical direction for how we build and run AI solutions in Business & Retail Banking, and others will follow the patterns you establish. You will join a small, hands-on team with a broad mandate: we own our solutions end to end, from the data and the model through to the interface our colleagues work in. 

You will design and build AI solutions that support employees, automate processes and improve efficiency across BRB. The work spans the whole stack, and you will have real influence over what we build and how.

• Develop GenAI solutions that create business value — design and build AI solutions that support customers, employees, automate processes and improve efficiency across BRB.

• Ensure robustness, quality and regulatory compliance — design AI models, systems and architectures that meet business requirements, regulatory standards and industry best practices, including monitoring, governance and quality assurance.

• Drive AI adoption across the organization — build trust in AI, establish ways of working, share best practice and inspire teams in how AI can be used responsibly and effectively.

• Build the engineering foundation that makes agentic development efficient and safe — the pipelines, environments, templates and guardrails that lets our teams ship AI solutions without cutting corners.

• Collaborate cross-functionally — work closely with business and product teams to take initiatives from idea to production and measurable impact.

To thrive in this role, we believe you have

• Strong software engineering foundation with several years of full stack development, experience owning production systems, and the judgement to know when a problem requires AI and when conventional software is the better solution.

• Hands-on GenAI and agentic engineering experience, including LLMs, retrieval-augmented generation (RAG), tool calling, agent workflows, and robust evaluation practices using test data, human review, regression testing, and production monitoring. You view evaluation as part of the build process, not an afterthought.

• Deep DevOps, GitOps, and production operations expertise, including Git as the source of truth, infrastructure as code, declarative deployments, trunk-based development, CI/CD, observability, cost and latency monitoring, secrets management, and secure agent tooling. You can explain what an AI system did, why it did it, and how it is performing.

• A technology-agnostic mindset. You are comfortable learning new languages, frameworks, and tooling as needed, and place greater emphasis on engineering principles and system design than on expertise in any single technology stack.

• Strong technical and communication skills, with the ability to move confidently between business intent, system architecture, and implementation. You should be comfortable providing clear technical guidance to both engineering teams and business stakeholders

You are curious, pragmatic and take ownership. You enjoy being close to the people who use what you build, you raise the bar for the engineers around you, and you are motivated by adoption and measurable impact rather than by the technology alone.

What we offer

• Agile and modern ways of working

• A flat hierarchy and openness to different ideas, opinions and points of views

• Extensive training and learning opportunities

• Mobility within a large global company

• Long-term stability