AI Engineer to Swedbank’s Group AI Accelerator

Are you enthusiastic about advancing the AI capabilities in the leading bank in the Nordics and Baltics?

In Swedbank you have the opportunity to:

Design and build Generative AI applications, leveraging modern techniques such as RAG (Retrieval-Augmented Generation)

Build and deploy agentic AI systems capable of multi-step reasoning, planning, and tool us

Integrate external tools, APIs, and enterprise data using Model Context Protocol (MCP)

Work with embedding models, chunking strategies, and vector stores to enable efficient information retrieval

Build and optimize data pipelines tailored for AI use cases, from ingestion to model interaction

Leverage Microsoft Azure services to develop scalable, cloud-native AI solutions

Integrate AI solutions into production, including:

Model versioning and lifecycle management

Monitoring (performance, drift, usage)

Continuous improvement workflows

Collaborate closely with data engineers, software engineers, and business stakeholders to deliver end-to-end AI solutions

Ensure solutions are built with security, compliance, and governance in mind

Contribute to agile development practices and continuously improve ways of working

Play a key role in accelerating AI adoption and delivery across the bank

What is needed in this role:

Strong programming skills in Python, with experience building AI/ML or Generative AI applications

Hands-on experience with: LLMs and Generative AI frameworks, RAG architectures, embeddings, and vector databases API-based model integration and application development

Experience in implementing agentic AI systems (agent orchestration, planning, memory, tool usage)

Understanding of Model Context Protocol (MCP) for connecting LLMs to tools, data sources, and services

Experience working in cloud environments (preferably Microsoft Azure)

Understanding of: Model lifecycle and MLOps principles, Monitoring and improving AI system performance and Responsible AI and secure handling of