AI Engineer (GenAI / Agentic Platform)

Nordea; Województwo mazowieckie; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Nordea is seeking an AI Engineer to join the Group Technology team on a permanent, full-time basis. You will help build the Finance AI Platform, enabling Generative AI and Agentic capabilities across the bank with a strong focus on security, governance, and scalable delivery.

Responsibilities include designing AI agents, improving RAG, integrating with internal systems, and ensuring observability, testing, and performance optimization in cloud environments (GCP).

Qualifications

• 5+ years of software engineering experience in cloud environments.
• Proven hands-on experience delivering Generative AI solutions, including LLM-powered applications and RAG in production.
• Strong Python skills; experience building APIs and backend services.
• Deep understanding of RAG architectures and embeddings, vector search, grounding techniques.
• Experience with agentic AI frameworks and orchestration patterns (LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI).
• Experience building cloud-native AI on Google Cloud Platform (Vertex AI, containerized apps, CI/CD).
• Experience building observable and reliable AI systems with monitoring, telemetry, tracing, guardrails and performance optimization.
• Solid software engineering practices: testing, security, scalability, maintainability.

Responsibilities

• Design, build and operate AI agents and agentic workflows using the Finance AI Platform.
• Develop and improve Retrieval-Augmented Generation capabilities and knowledge ingestion.
• Integrate AI solutions with internal platforms via robust APIs and secure integrations.
• Create reusable platform capabilities for rapid AI-driven use case deployment.
• Ensure production-grade quality through testing, evaluation, observability, and performance tuning.
• Implement Responsible AI, governance, security, and compliance controls.
• Collaborate with engineers, architects, product owners, and stakeholders to define AI engineering standards and drive adoption.

Skills

Python

LLM-powered apps

RAG

Agent-based workflows

Cloud environments

Observability

Security governance

Compliance

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

GCP Vertex AI

Tools

Snowflake

Google Cloud Platform

Job description

Job ID: 6445

AI Engineer (GenAI / Agentic Platform) (permanent position)

Welcome to Group Technology, where we pride ourselves on engineering solutions and direct Nordea’s transformation by providing a holistic technological view and structured understanding of the bank, and its surrounding environment to enable the Customer Vision and the Business Strategy. We are looking for an AI Engineer to join our team on a permanent, full-time basis. In this role, you will help build and evolve the Finance AI Platform, a strategic initiative aimed at establishing a common foundation for Generative AI and Agentic AI capabilities.

As part of the team, you will develop intelligent agents, AI-powered services, and reusable platform components that enable business domains to rapidly adopt AI in a secure, scalable, and compliant manner. Working at the intersection of software engineering, cloud platforms, and cutting-edge AI technologies, you will play a key role in shaping how AI is delivered and utilized across the organization.

Nordea is a place where traditions meet tomorrow. We're not just a bank, we're a tech employer on a mission to evolve finance securely and responsibly. Together, we impact millions of people’s daily lives by ensuring they can access our solutions anytime, anywhere, while safeguarding their personal data and wealth. Join us in making an impact on the banking industry.

About Our Team

Meet the Regulatory Reporting Software Development Team. We deliver end-to-end technology solutions for Nordea's Regulatory Reporting Service Domain - from building and maintaining software to automating key processes and supporting critical platforms. Our work keeps Group Function Technology running smoothly and compliantly, and we are now expanding into AI to unlock the next wave of efficiency and intelligence for the bank.

Main responsibilities in this role

• Design, build and operate AI agents, agentic workflows, and AI-powered services that leverage LLMs, enterprise systems, and internal data sources through the Finance AI Platform.
• Develop and continuously improve Retrieval-Augmented Generation (RAG) capabilities, including knowledge ingestion, vector search, retrieval optimization, grounding strategies, and response evaluation.
• Integrate AI solutions with internal platforms and backend services through robust APIs, tool/function calling mechanisms, and secure enterprise integrations.
• Build reusable platform capabilities that enable development teams to rapidly create, deploy, and scale AI-driven use cases.
• Ensure production-grade quality through automated testing, AI evaluation frameworks, observability, monitoring, telemetry, and performance optimization.
• Implement security, governance, and Responsible AI practices to ensure reliable, compliant, and trustworthy AI solutions.
• Collaborate closely with engineers, architects, product owners, and business stakeholders to define technical direction, establish AI engineering best practices, and drive adoption of AI capabilities across the organization.

Who You Are

This is the right role for you if you

• Are an engineer who enjoys building real-world AI products and platforms, not just experimenting with models. You are comfortable working in a fast-moving environment where technologies, patterns, and best practices are still evolving. You take ownership, make pragmatic decisions, and help translate AI potential into secure, scalable, and business-relevant solutions.
• Have a genuine passion for Generative AI and Agentic AI. You stay up to date with advancements in the field, enjoy exploring new approaches, and have strong opinions backed by hands-on experience. At the same time, you understand that successful AI solutions require much more than model selection: engineering quality, observability, security, and user adoption are equally important.
• Care deeply about software craftsmanship. Clean architecture, maintainable code, automated testing, and operational excellence are part of how you work. You also enjoy collaborating with others, sharing knowledge, and contributing to a culture of continuous learning and innovation.

Your background and skills include

• 5+ years of software engineering experience, including designing, building and operating production-grade applications in cloud environments.
• Proven hands-on experience delivering Generative AI solutions, including LLM-powered applications, Retrieval-Augmented Generation (RAG), tool/function calling and agent-based workflows in production environments.
• Strong Python skills and solid experience building APIs, integrations, and backend services that interact with enterprise platforms and data sources.
• Deep understanding of RAG architectures, including document ingestion, chunking strategies, embeddings, retrieval optimization, grounding techniques, vector search and evaluation methodologies.
• Experience with agentic AI frameworks and orchestration patterns, such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or equivalent technologies.
• Experience building cloud-native AI solutions, preferably on Google Cloud Platform (GCP), including Vertex AI, model serving, vector search services, containerized applications and CI/CD automation.
• Experience building observable and reliable AI systems, including automated evaluations, monitoring, telemetry, tracing, guardrails, and performance optimization.
• Strong understanding of software engineering best practices, including testing strategies, security principles, scalability and maintainability.

It would be ideal if you also

• Have experience building or contributing to enterprise AI platforms supporting multiple teams and business domains.
• Have hands-on experience with Snowflake, including integration of AI capabilities with enterprise data platforms.
• Are familiar with the Model Context Protocol (MCP) and standards for AI agent interoperability.
• Have experience working with foundation models such as Claude (Anthropic), OpenAI GPT models, Gemini, or open-source LLMs.
• Have experience implementing Responsible AI, governance, security and compliance controls in regulated environments.
• Have worked within financial services, banking, risk, regulatory reporting, or data-intensive enterprise environments.

What We Offer

Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us.

People are driven by many different factors. For some, it’s to take their career to the next level. For others, it’s to break new ground within their area of expertise – in other words, with us, you will always move forward.

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

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. Every day we strive to find new ways to improve diversity and inclusion within our community e.g. we have signed the European Diversity Charters in the countries where we operate to show our commitment and engage with others to continue learning and improving.

The recruitment process consists of the following steps:

• Preliminary CV selection
• Online interview with the hiring leader
• Background check

We enable dreams and aspirations for a greater good. We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges. We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy. We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us. Studies show that members of underrepresented communities don’t apply for jobs unless they tick all the qualification boxes. If this is part of why you hesitate to apply, we would like you to reconsider and give it a chance. Maybe your profile fits our needs much better than you think.