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Senior Forward Deployed AI Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Software Engineering

In short

Nordea seeks a Senior Forward Deployed AI Engineer to design and build scalable AI solutions, focusing on agentic AI applications and ethical development. This hybrid role involves end-to-end delivery, collaboration with cross-functional teams, and exploring emerging AI tools, based in Helsinki, Stockholm, or Copenhagen.

Responsibilities

  • End-to-end delivery of impactful AI applications: architecture, implementation, integration, testing and production rollout.
  • Collaborate with data scientists, engineers and product teams to design and implement robust, maintainable AI systems that utilize AI/ML models, data pipelines, and orchestration layers.
  • Explore emerging AI tools and frameworks; share insights and build proofs of concept applicable to Nordea’s use cases.
  • Technical scoping and estimation for AI use cases.
  • Define and promote engineering best practices: code review standards, CI/CD, testing strategies and documentation.
  • Champion ethical, safe, and sustainable AI practices throughout the development lifecycle and across the organization.

Requirements

  • BSc or MSc in Computer Science, Computer Engineering, Engineering Physics, or equivalent practical experience
  • Minimum 3 years of hands-on experience architecting, developing and deploying applications or AI/ML solutions in production environments (not just prototypes)
  • Strong software engineering fundamentals with proficiency in Python and experience building scalable, maintainable codebases
  • Experience building agentic AI systems – autonomous agents that reason, plan and execute tasks – and integrating them with tools, APIs and enterprise data via MCP or similar standards
  • Experience designing and deploying AI/ML solutions on cloud platforms (AWS, Azure or GCP), including containerisation (Docker, Kubernetes) and cloud-native production patterns
  • 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

Desired Qualifications

  • Knowledge of agent testing methodologies, performance monitoring and maintaining agent reliability in production environments
  • Experience using agent development frameworks and harnesses such as LangGraph, Deep Agents, AutoGen, CrewAI or similar, including multi-agent coordination and sub-agent delegation
  • Experience using agentic AI tools like Claude Code/Cowork, OpenAI Codex
  • Professional experience working in regulated industries, e.g. banking, government, etc.

Benefits

  • Potential career development, including transitions into business teams.
  • Inclusive workplace where diverse backgrounds and traits are valued.
  • Opportunity to make an impact on millions of people's daily lives and the banking industry.

Skills

PythonDockerKubernetes
#AI#machine learning#engineering#solutions#data technology#strategy#applications#cloud#python
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About Nordea

We are a universal bank with a 200-year history of supporting and growing the Nordic economies – enabling dreams and aspirations for a greater good. Every day, we work to support our customers’ financial development, delivering best-in-class omnichannel customer experiences and driving sustainable change. We are a full-service universal bank and the third largest corporation in the Nordic region and one of the top 10 financial services companies in Europe based on market capitalisation. We are present in 17 countries, including our four Nordic home markets which together constitute the 10th…

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Company

Nordea

Job Posted

2 weeks ago

Expires

in 3 weeks

Employment Type

Full Time

Work mode

Hybrid

Experience Level

Senior

Locations

Stockholm, Sweden

Taastrup, Denmark

Helsinki, Finland

København S, Denmark

Qualification

Bachelor, Master

Applicants

Be an early applicant