Lead / Senior AI Platform Engineer - Fighting Financial Crime
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering
In short
Nordea is seeking a Lead/Senior AI Platform Engineer to develop and scale their enterprise AI platform for detecting and investigating financial crime. The role involves technical leadership and hands-on engineering to ensure scalable, secure, and responsible AI solutions within a hybrid work environment. The position is permanent and can be based in Helsinki, Tallinn, Stockholm, Copenhagen, or Poland.
Responsibilities
- Design, build and evolve enterprise-grade AI platform capabilities supporting predictive, generative and agentic AI use cases.
- Drive technical leadership across engineering, architecture, data science and security teams to ensure successful platform adoption and operational excellence.
- Define engineering standards, production-readiness requirements, governance models and operational frameworks for AI solutions.
- Translate strategic AI ambitions into scalable platform capabilities, technical roadmaps and implementation guidance.
- Ensure platform resilience, security, cost efficiency and regulatory compliance through effective risk, incident and access management.
Requirements
- BSc or MSc in Computer Science, Software Engineering, Computer Engineering or a related technical field.
- Proven experience designing, building and operating large-scale cloud-native platforms and production-grade applications in enterprise environments.
- Strong experience with AWS cloud services and familiarity with other major cloud providers such as Azure or Google Cloud Platform.
- Hands-on software engineering experience with Python and Infrastructure as Code technologies such as Terraform.
- Experience with AI and machine learning platforms such as Amazon SageMaker, Bedrock, AgentCore and modern enterprise data platforms.
- Demonstrated ability to lead technical discussions and manage stakeholder relationships across complex organisational environments.
Desired Qualifications
- Have experience building shared platforms, internal developer platforms or enterprise services used by multiple teams.
- Have worked with MLOps, Generative AI, Large Language Models or enterprise AI adoption initiatives.
- Have experience from highly regulated industries such as banking, financial services, insurance, telecommunications or government.
Benefits
- A culture that fosters performance and growth in one of the largest Nordic banks, offering various opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds in a vibrant working environment.
- Hybrid working model – we believe in the value of bringing people together and at the same time we embrace the freedom of flexibility.
- Diversity and inclusion are a natural part of our daily work.
- We know that an inclusive workplace is a sustainable one.
- We genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together.
Skills
PythonTerraformAmazon SageMakerAWSAzureGoogle Cloud PlatformBedrockAgentCore
#AI Platform#Financial Crime#Machine Learning#Cloud-Native#AWS#Python#Terraform#MLOps#Generative AI#LLM
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…
Company
NordeaJob Posted
3 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
Helsinki, Finland
Warszawa, Poland
Stockholm, Sweden
Tallinn, Estonia
Łódź, Poland
Qualification
Bachelor, Master
Applicants
Be an early applicant
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