Ready to take AI out of the lab and make it run at enterprise scale?
This role owns the engineering backbone that turns validated AI use cases into secure, reliable, production-grade AI products across FrieslandCampina.
Why this role stands out
- You lead enterprise AI engineering and MLOps, not experiments. Production, scale, reliability, and reusability are the bar.
- You combine hands-on AI engineering with practice and team leadership, setting standards, architectures, and quality across domains.
- You operate at the intersection of AI, platform engineering, and Responsible AI, with direct exposure to D&A leadership and strategic decisions.
Your impact
- Design and run scalable AI and MLOps pipelines on Azure that power real business decisions.
- Turn business value levers into measurable AI product outcomes.
- Ensure AI solutions are secure, explainable, observable, and compliant by design.
- Build and lead a strong AI engineering team that raises the technical bar globally.
Ce que nous demandons
- You take ownership end to end, act with speed and decisiveness, and look beyond your own role to create impact aligned with our strategic priorities. You are pragmatic, accountable, and push ideas into production.
- You are a hands-on AI engineering leader with strong judgment, able to balance innovation with reliability, security, and Responsible AI in an enterprise context.
- Deep expertise in AI engineering and MLOps, including designing and running production-grade AI pipelines and platforms on Azure, with strong collaboration across data, platform, and business teams.
- Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in Data & Analytics, with a proven track record of scaling AI solutions from experimentation to sustained business value in production.
Ce que nous offrons
FrieslandCampina offers an informal and friendly work environment where you collaborate with passionate professionals. You will have access to training and coaching to support your professional growth, and internal career development opportunities are actively encouraged. With trust and autonomy, you will have the chance to create lasting impact.
- Flexible working hours, hybrid working, plus either a train pass or a travel allowance of €0.23 per km (up to 30 km one way).
- 200 hours of annual leave, the option to buy or sell 40 extra hours, and 8% holiday allowance.
- Free milk & cheese during lunch and barista coffee at the headquarters.
- A global, senior role based in Amersfoort, working with strong AI, data, and platform engineering colleagues across business domains and IT.
- Continuous personal and professional development through exposure to complex, first-of-kind AI challenges, senior leadership forums, and cutting-edge AI and cloud technologies.
- Competitive compensation and benefits aligned with a Hay 18 global leadership role, including flexibility to support sustainable performance.
- The opportunity to make visible, material impact by turning AI into a reliable, enterprise capability that drives business value across FrieslandCampina.
- A purpose-driven environment where your work directly supports “Nourishing by Nature” by embedding responsible, scalable AI into how the company operates.
Description du poste vacant
- You build AI that actually runs. Every day.
- This role turns AI ambition into production reality. The focus is on designing, building, and operating enterprise-grade AI and MLOps pipelines that are reliable, secure, and used daily in core business decisions. Experimentation is the starting point, not the end state.
- The role leads the global AI Engineering and MLOps capability, combining hands-on engineering with clear technical ownership. Day to day work includes setting architectures and engineering standards, resolving complex production issues, reviewing critical code and pipelines, and coaching a small senior team that sets the technical bar for AI delivery.
- Work happens in close partnership with Data Engineering, Platform Engineering, Architecture, Security, and business domain teams across FrieslandCampina. Real use cases such as forecasting, pricing, and supply chain optimization are translated into scalable AI products.