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 Youll 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.

Qualifications :

**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

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