Senior AI Engineer – NLP

2 days ago


Copenhagen, Copenhagen, Denmark Ramboll Group AS Full time
About Us

Ramboll Group A/S is a global architecture, engineering, and consultancy firm that believes sustainable change aims to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act.

We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential. Our team at Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group, directing all AI-related initiatives within the company.

Our team currently has over 300 employees from Denmark, Germany, the USA, and India, and we are looking to quickly expand in key areas across Europe and the globe.

About the Role

We are seeking an exceptional Senior AI Engineer – NLP who will be responsible for shaping cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth.

In this role, you will step up and take responsibility to define architectural patterns for scalable LLM pipelines, drive the integration of external knowledge bases and retrieval systems, and explore and benchmark state-of-the-art LLMs.

You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. Your job will be to shape the technical roadmap and contribute to the implementation of best practices both in the product team and the global Chapter of ML Engineers.

About You

To succeed in this role, you will need:

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Minimum 5 years of experience implementing machine learning projects.
  • At least 2 years in a senior or lead role.
  • Demonstrated expertise integrating modern LLMs into production systems.

Additionally, you will need to have strong leadership skills, proven ability to drive technical projects to successful completion in agile environments, and strong communication skills to align technical solutions with business goals.

You will also need to have hands-on experience with containerization tools, workflow management tools, and cloud environments for scalable AI deployment, monitoring, and optimization.



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