Do you want to build AI solutions that empower thousands of employees across Europe?

There is a way to shape the future of AI while contributing to one of Europe's largest energy companies. As an AI Engineer within Digital Platform Enablement, you will help create the intelligent services, platforms and digital capabilities that enable colleagues across Vattenfall to work smarter, find information faster and unlock new business value.

What will you do?

Artificial Intelligence is rapidly transforming how organizations operate. In Digital Platform Enablement, we are building enterprise-scale AI capabilities that help colleagues discover knowledge, automate processes and make better decisions every day.

As an AI Engineer, you will work alongside software engineers, architects, data specialists, business stakeholders and Microsoft experts to develop the next generation of AI-powered solutions. Your work will contribute directly to Vattenfall's digital transformation and support our ambition to create sustainable business value through technology.

Your tasks and responsibilies:

• Designing, developing and maintaining production-grade AI applications and services running on Microsoft Azure
• Building Retrieval Augmented Generation (RAG) solutions, enterprise search capabilities and intelligent knowledge discovery platforms
• Developing APIs and integrations connecting AI solutions with platforms such as SharePoint, ServiceNow, HR systems and internal data services
• Evaluating, connecting and onboarding enterprise data sources for AI consumption
• Developing AI agents and automation capabilities that simplify work and improve employee experiences
• Contributing to AI architecture, governance, platform enablement and best practices across Vattenfall
• Conducting proofs of concept and assess emerging AI technologies, frameworks and engineering approaches
• Collaborating closely with business stakeholders to translate opportunities into scalable and secure solutions
• Influencing future platform choices and strategic decisions regarding enterprise AI adoption

Location

Amsterdam

Qualifications

Your profile

You enjoy turning complex challenges into practical solutions and are curious about how new technologies can create measurable value. You combine strong software engineering skills with a genuine interest in AI, cloud platforms and enterprise environments.

We believe you will thrive in this role if you bring:

• A Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related discipline
• Solid experience in software engineering, preferably using Python
• Experience developing cloud-native applications and services
• Understanding of machine learning concepts and modern AI technologies
• Experience working with APIs, integrations and distributed systems
• Strong communication skills and the ability to work together with both technical and non-technical stakeholders
• A careful and structured approach to problem solving and solution design
• Curiosity, learning agility and enthusiasm for exploring emerging technologies

It is considered an advantage if you have experience with:

• Microsoft Azure and Azure AI services
• Large Language Models (LLMs) and Generative AI
• Retrieval Augmented Generation (RAG) architectures
• LangChain and LangGraph
• Databricks and modern data platforms
• CI/CD pipelines, automated testing and Infrastructure as Code
• Enterprise search, knowledge management and information governance

Technologies you will be working with:

AI & Machine Learning

• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• LangChain
• LangGraph
• Prompt Engineering
• AI evaluation frameworks and quality assessment

Software Engineering

• Python
• FastAPI
• Quart
• Pydantic
• Pytest
• REST APIs

Cloud & Platforms

• Microsoft Azure
• Azure AI Services
• Azure Storage
• Azure Key Vault
• Azure Identity Services
• Databricks
• PostgreSQL

DevOps & Engineering Excellence

• GitHub
• GitHub Copilot
• CI/CD Pipelines
• Automated Testing
• Infrastructure as Code