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About the Role
As an AI Engineer within Digital Platform Enablement, you will help create intelligent services, platforms, and digital capabilities that enable colleagues across Vattenfall to work smarter, find information faster, and unlock new business value. Your work will contribute directly to Vattenfall's digital transformation and support our ambition to create sustainable business value through technology.
Responsibilities
- 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 assessing 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
Requirements
- 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
Skills
- 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
- Microsoft Azure
- Azure AI Services
- Azure Storage
- Azure Key Vault
- Azure Identity Services
- Databricks
- PostgreSQL
- GitHub
- GitHub Copilot
- CI/CD Pipelines
- Automated Testing
- Infrastructure as Code
- 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
Location
- Amsterdam
Work Type
- Hybrid
- Full-time
Education Level
- Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning or a related discipline
Benefits
- Flexibility to work from home
About the Company
- Vattenfall is a European energy company with approximately 21 000 employees.
- For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation.
- We design and build the digital backbone that moves Vattenfall forward — from modern infrastructure to large-scale digital transformation initiatives.
- We connect people, processes and technology while enabling automation, innovation and an intuitive user experience.
- By doing so, we create a smart and connected organisation that is ready for tomorrow's energy transition.
Equal Opportunity
- At Vattenfall, we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity.
- Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation.