AI Engineer Python

We are looking for an AI Engineer — Python to enhance the Python 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 Python: packaging, types and async 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 CI/CD, Docker, Kubernetes and Terraform to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Test and quality engineering to deliver durable, scalable outcomes.
• Lead and apply deep expertise in Documentation-as-code and agent-consumable interfaces to deliver durable, scalable outcomes.
• Mentor junior engineers and conduct thorough code reviews to maintain high engineering standards across the platform.
• Optimize performance and scalability of Python applications through profiling, benchmarking and architectural improvements.
• Implement and enforce security best practices, including vulnerability assessments and secure coding standards.
• Establish monitoring, observability and alerting standards to ensure platform reliability and performance visibility.
• Evaluate and integrate emerging AI/ML tools and frameworks to enhance developer productivity and platform capabilities.
• 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 throughout the organization.

**What You Bring**

**Required Qualifications

**

• Demonstrable experience in Modern Python: packaging, types and async
• Demonstrable experience in Shared libraries and service templates
• Demonstrable experience in AI-assisted engineering with rigorous evaluation
• Demonstrable experience in CI/CD, Docker, Kubernetes and Terraform
• Demonstrable experience in Test and quality engineering
• Demonstrable experience in Documentation-as-code and agent-consumable interfaces
• Demonstrable experience in Internal platform thinking
• Strong communication skills and the ability to influence across technical and non-technical stakeholders
• Fluent English, written and spoken
• Proven experience with performance optimization, profiling and benchmarking of Python applications
• Knowledge of security best practices, including vulnerability assessments and secure coding standards
• Experience implementing and maintaining monitoring, observability and alerting solutions

**Preferred Qualifications

**

• 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 organizations
• Demonstrated experience mentoring junior engineers or leading technical initiatives
• Familiarity with emerging AI/ML tools and frameworks in development environments

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