AI Engineer Java

Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. 

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

We are looking for an AI Engineer — Java to enhance the Java layer of our internal developer platform: templates, shared libraries, runtime standards and quality tooling. This is an opportunity to work at the intersection of advanced technology and agricultural R&D, partnering with engineers, product leaders and scientific stakeholders on capabilities with real-world impact. Help accelerate the digital capabilities that support more sustainable agriculture and scientific innovation.

What You'll Do

• Lead and apply deep expertise in Modern Java 17+, Spring Boot and Maven/Gradle to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Shared libraries and service templates to deliver durable, scalable outcomes.
• Lead and apply deep expertise in AI-assisted engineering with rigorous evaluation to deliver durable, scalable outcomes.
• Lead and apply deep expertise in GitLab CI/CD, Docker, Kubernetes and Terraform to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Test engineering: JUnit, Mockito and contract testing to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Documentation-as-code and agent-consumable interfaces to deliver durable, scalable outcomes.
• Design and architect scalable solutions that integrate AI capabilities with existing Java-based systems and frameworks.
• Optimize application performance, monitor system health, and implement observability practices across the platform.
• Conduct thorough code reviews, mentor junior engineers, and establish best practices for AI-assisted development workflows.
• Collaborate across engineering, product and scientific teams to translate complex needs into practical solutions.
• Set a high bar for quality, documentation and thoughtful use of AI-assisted engineering.

What You Bring

• Demonstrable experience in Modern Java 17+, Spring Boot and Maven/Gradle.
• Demonstrable experience in Shared libraries and service templates.
• Demonstrable experience in AI-assisted engineering with rigorous evaluation.
• Demonstrable experience in GitLab CI/CD, Docker, Kubernetes and Terraform.
• Demonstrable experience in Test engineering: JUnit, Mockito and contract testing.
• Demonstrable experience in Documentation-as-code and agent-consumable interfaces.
• Demonstrable experience in Internal platform thinking.
• Proven expertise in designing and architecting scalable, distributed systems.
• Strong background in application performance optimization and observability practices.
• Experience conducting code reviews, mentoring engineers, and establishing best practices.
• Strong communication skills and the ability to influence across technical and non-technical stakeholders.
• Fluent English, written and spoken.

Bonus Points

• Experience in agriculture, life sciences, scientific computing or a regulated enterprise environment.
• Experience building platforms, products or services used by multiple internal teams.
• Experience working in distributed, international engineering organisations.
• Track record of establishing quality standards and best practices in AI-assisted development workflows.

Why Syngenta?

• Meaningful impact: help build technology that supports scientific innovation and sustainable agriculture.

• Complex, modern challenges: work on high-scale platforms and systems with room for technical judgement.

• Collaborative environment: partner with global engineering, R&D and product communities.

• Growth: broaden your influence through challenging work, visible outcomes and a global network.