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 Youll 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.

Qualifications :

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.

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time