AI Engineer Java

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.