Expert AI Specialist hos Nordea i Stockholm
Tar tekniskt ansvar för skalbara AI-plattformar och infrastruktur samt utvecklar arbetsflöden för generativ AI. Kräver 7 års erfarenhet av IT-drift, site reliability engineering eller molninfrastruktur samt kunskaper i Google Cloud, Linux och Kubernetes.
Titel, arbetsplatsens namn och sammanfattning skrivna av AI utifrån annonsen.
Bra att veta
Lön
Inom yrkesgruppen Systemanalytiker och IT-arkitekter m.fl. har de som jobbar i privat sektor i Stockholm i snitt 65 900 kr i månaden, varav 64 800 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 52 500 kr och 70 900 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
Nordea har annonserat 144 jobb det senaste året: 125 tillsvidareanställningar och 19 tidsbegränsade anställningar. Inom yrkesgruppen Systemanalytiker och IT-arkitekter m.fl. har de annonserat 99 gånger de senaste två åren, den här annonsen inräknad.
Källa: vår sammanställning av Arbetsförmedlingens annonser
Expert AI Specialist to Service Fulfilment & Operations
- Job ID
- 6566
Welcome to Group Technology, where we engineer solutions that support Nordea's transformation and enable the Customer Vision and Business Strategy. As part of Nordea's 2030 strategic direction, we are modernizing our technology and data estate while accelerating the adoption of AI-enabled capabilities across the bank.
We are now looking for Expert AI Specialists to join our team. In this role, you will take technical ownership of reliable, secure and scalable AI-enabled platforms and applications. You will shape solution choices, build production-grade AI infrastructure and workflows, and guide teams in adopting AI responsibly in line with Nordea standards.
Main responsibilities in this role:
Take technical ownership of reliable, secure and scalable cloud and AI-enabled services, including participation in the 24/7 on-call rotation for business-critical applications
Define and improve observability and operational practices across logging, monitoring, alerting, SLOs, incident response, resilience, cost control and production readiness, with a particular focus on Google Cloud
Design and implement AI-enabled environments, including agentic AI solutions, prompt engineering, retrieval-augmented generation, agents and end-to-end AI workflows
Translate business and operational needs into sustainable technical solutions, identifying dependencies, risks and opportunities for improvement
Provide expert guidance to users and engineering teams, resolve complex platform issues and support effective adoption of environments and tools
Own the implementation and lifecycle of development, test and production platforms, ensuring stable, high-performing and maintainable solutions
Drive technical decisions based on evidence, platform knowledge and long-term value, and align choices with architecture, security and governance requirements
Act as an experienced technical partner who shares knowledge, reviews solutions and helps raise engineering quality across the team
This is a full-time permanent position with a hybrid working arrangement - up to 40% remote work is possible. We expect to hire in one of these cities: Gdańsk or Gdynia, Warsaw, Helsinki, Stockholm or Copenhagen.
Who you are
- Site Reliability Engineer (SRE) mindset:
- Builds reliability into services from the start instead of reacting only after issues occur
- Uses monitoring, service-level objectives, and operational data to understand system performance
- Automates repetitive operational work and reduces unnecessary manual effort
- Designs systems to fail safely, recover quickly, and remain manageable in production
- Learns from incidents through root-cause analysis and blameless reviews, turning findings into practical improvements
- Balances delivery speed with stability, security, and responsible risk management
Your background and skills include:
7 years of relevant experience in IT operations, site reliability engineering, platform engineering or cloud infrastructure, with a track record of owning complex production environments
Strong DevOps and operations expertise across support, maintenance, deployment, automation and platform administration
Deep experience with cloud operations in Google Cloud; knowledge of AWS or Azure is an advantage
Advanced troubleshooting skills, including the ability to interpret logs, metrics and traces and resolve complex application and infrastructure issues
Strong practical knowledge of Linux/Unix environments
Hands-on experience with CI/CD, Docker, Kubernetes, Ansible and Git-based repository management
Experience designing, integrating or operating AI-enabled solutions, such as generative AI services, agentic workflows or retrieval-augmented generation
The judgement to make sound technical decisions in a regulated environment, balancing innovation with security, resilience, governance and maintainability
A lead-by-doing approach: you combine deep technical expertise with hands-on delivery, practical guidance and a willingness to share knowledge
Clear communication and stakeholder management skills, with fluency in written and spoken English
It would be ideal if you also if you have any of the following:
Have designed or implemented AI workflows and can demonstrate how you have moved AI use cases from experimentation towards reliable production use
Have worked in a 24/7 operational environment and are comfortable joining an on-call rotation during normal working hours and, at minimum, one week every two months
Have led the resolution of complex incidents, including root-cause analysis, change implementation and communication with customers and stakeholders
Have experience releasing and operating new applications or platform capabilities used by internal or external customers
Have contributed to technical standards, architecture decisions, code or solution reviews, or mentoring within an engineering community
If this sounds like you, get in touch!
For union information, please contact Finansförbundet at finansforbundet@nordea.se or SACO at SacoNordea@nordea.com.
Avsnitt som inte handlar om jobbet är utelämnade. Hela annonsen finns hos Arbetsförmedlingen.
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