AI Engineer, Novonesis, Bagsværd

1000 Novozymes A/S; Gladsaxe Kommune; Hybrid; DKK 700,000 - 900,000; Full time

Job summary

Novonesis in Bagsværd, Denmark, seeks an AI Engineer to develop and implement AI-enabled scientific workflows that transform how research and development are conducted across the organization. The role blends hands-on execution with innovation, translating scientific challenges into scalable AI solutions aligned with Novonesis enterprise platforms and data foundations.

You will collaborate with scientists, digital specialists, AI experts and data engineers to deliver repeatable, maintainable

Qualifications

• BSc or MSc in CS, SE, DS, ML, Bioinformatics or related field with working proficiency in English.
• Experience developing AI/ML/LLM-enabled solutions in production environments.
• Strong Python skills with experience in models, APIs, data pipelines and modern software practices.
• Experience taking AI solutions from PoC through deployment and lifecycle management.
• Ability to collaborate with scientists, data engineers and platform teams.

Responsibilities

• Build and implement AI-enabled scientific workflows that improve research activities and create measurable value for scientists.
• Design and develop solutions using enterprise AI platforms, models, data foundations and reusable components.
• Contribute to next-generation R&D initiatives connecting data, models, tools and AI capabilities into end-to-end workflows.
• Work closely with scientists and local digital teams to understand user needs and iteratively develop solutions.
• Support adoption, integration and lifecycle management of AI solutions to ensure long-term impact.

Skills

Python

AI/ML

LLM-enabled

Data pipelines

APIs

Software development

Education

BSc/MSc in CS/SE/DS/ML/Bioinformatics

Tools

Enterprise AI platforms

Job description

Interested in a career that matters? At Novonesis, we believe biology holds the key to solving some of the world's biggest challenges. To accelerate this mission, we are strengthening our digital and AI capabilities across Product & Process Development (PPD). You will join the newly formed Digital Enablement Team within PPD, an organization of more than 400 employees across six director areas and more than 10 geographical locations. The team brings together expertise in digital implementation, data engineering, AI and the wider PPD data landscape to support scientists and business functions across the organization. Together, we will build a strong digital foundation, establish new ways of working and create practical solutions that help scientists work more efficiently and effectively. By partnering closely with local digital teams, scientists and platform experts, we enable the adoption of scalable digital and AI solutions that create value across PPD.

The role & your impact As an AI Engineer, you will develop and implement AI-enabled scientific workflows that help transform how research and development is conducted across Novonesis. This role combines hands‑on execution with innovation, requiring both strong technical capabilities and close collaboration with scientific stakeholders. You will play a key role in translating scientific challenges into practical AI solutions that are scalable, maintainable and aligned with Novonesis enterprise platforms and data foundations.

Your key responsibilities in this role

• Build and implement AI-enabled scientific workflows that improve research activities and create measurable value for scientists.
• Design and develop solutions using enterprise AI platforms, models, data foundations and reusable components.
• Contribute to next‑generation R&D initiatives that connect data, models, tools and AI capabilities into integrated end‑to‑end workflows.
• Work closely with scientists and local digital teams to understand user needs and iteratively develop solutions that fit real‑world scientific processes.
• Support adoption, integration and lifecycle management of AI solutions to ensure long‑term impact and sustainability.

What you’ll need to be successful in this role

• BSc or MSc degree in Computer Science, Software Engineering, Data Science, Machine Learning, Bioinformatics, or a related technical or scientific discipline, combined with professional working proficiency in English.
• Experience developing and implementing AI, machine learning, or LLM‑enabled solutions in operational or user‑facing environments.
• Strong programming skills, preferably in Python, with practical experience working with models, APIs, data pipelines, and modern software development practices.
• Experience taking AI solutions beyond proof‑of‑concept through testing, integration, deployment, monitoring, and lifecycle management.
• Ability to collaborate effectively with scientists, software specialists, data engineers, and platform teams to develop, validate, and operationalize AI solutions.
• We are looking for someone who demonstrates: Strong AI problem‑solving and engineering judgment, with the ability to identify where AI creates meaningful value and build reliable, maintainable solutions that deliver lasting impact.
• An experimental and learning‑oriented mindset, using evidence, user feedback, and technical results to iteratively improve solutions and adapt approaches when needed.
• Excellent collaboration, curiosity, and learning agility, working effectively across scientific and technical disciplines while continuously exploring new technologies and ways of working.

Additional skills & interests we value

• Experience working in scientific R&D or laboratory environments would be an advantage, as would hands‑on experience with agentic AI, generative AI, and LLM‑based workflows.
• Familiarity with enterprise AI platforms and large‑scale AI implementations is beneficial, particularly when combined with an understanding of data platforms that support scientific and research operations.
• Candidates with an interest in applying emerging AI technologies to solve complex scientific challenges will thrive in this environment.

What we offer you

This is an opportunity to help shape a newly established team at the intersection of science, data, and AI. You will work alongside talented colleagues across multiple disciplines while contributing to initiatives that have impact on a global R&D organization. In this role, you will have a unique opportunity to influence how AI is applied within scientific research and development while collaborating closely with scientists, digital specialists, AI experts, and data engineers across Novonesis. You will be part of a collaborative environment focused on learning, innovation, and continuous improvement, with access to enterprise-scale platforms and capabilities that support your professional growth. As the team continues to evolve, you will also play an important role in defining new ways of working and establishing best practices for AI adoption across PPD.

Working conditions

The position is based in Bagsværd, Denmark, and operates within an office‑first hybrid work model. Onsite collaboration plays an important role in understanding scientific workflows, building strong stakeholder relationships, and working closely with colleagues across the organization. At the same time, we offer flexibility to work from home when compatible with team and project needs. Limited travel may be required depending on project activities and stakeholder engagement.

Application deadline: 16 October 2026.

Contact Information

For more information, please contact Christian Munk, PPD Digitalization Lead, at [e-mail] or [phone].

Our purpose guides the way

In Novonesis, we know that solutions rooted in biology can help solve humanity’s biggest challenges. Since we began more than a century ago, this has been our guide. It’s how we've gotten so far. And it’s how we'll impact the future. Now, more than ever, the world needs change. And with biosolutions, the possibilities for transformation are endless.

Opportunities for everyone

We are committed to an inclusive recruitment process and equal opportunity for all applicants. Therefore we ask you to apply without a cover letter or photo and instead include a few sentences in your CV explaining your motivation for applying. We make all employment decisions based on business needs and welcome candidates with a wide range of backgrounds, including ethnicity, religion, gender, sexual orientation, age, disability, or veteran status.

Explore other openings

Feel free to explore open roles or create a job agent to stay connected with future opportunities at novonesis.com/Career.