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.