R&D AI Analytics Engineer for Agricultural Innovation

Syngenta Group; Amsterdam; Híbrido; EUR 90.000 - 140.000; Jornada completa

Descripción de la vacante

Syngenta seeks an experienced R&D Analytics - AI Developer to build scalable software that analyzes experimental, phenotypic, genotypic, environmental, and pipeline data for Vegetable R&D. The role combines strong software engineering with applied AI to deliver decision-support tools and models.

You will collaborate with R&D scientists and analytics teams to translate need into robust software, deploying in cloud environments and ensuring governance and explainability where required.

Formación

• Master or PhD in Data Science, Artificial Intelligence, Computer Science, Quantitative Genetics, or a related field.
• A minimum of 5 years of professional software engineering experience, with at least 3 years building and maintaining production systems in Python.
• Familiarity with AI and machine learning frameworks.
• Strong knowledge and experience of Agentic AI and large language models.
• Proven experience designing, building, and maintaining end-to-end software solutions.
• Strong Python programming and software engineering skills.
• Experience with big data platforms and technologies (e.g., Snowflake, Databricks).
• Experience packaging, deploying, and monitoring ML models in production.
• Proficiency in developing cloud-native applications and deploying to cloud environments, especially AWS.
• Experience with API technologies (e.g. RESTful APIs or GraphQL).
• Experience developing software products or analytical applications for scientific, R&D, agricultural, biological, or similarly complex data domains.
• Demonstrated ability to use AI coding assistants, enterprise AI platforms, or agentic AI tools to accelerate software delivery while applying independent technical review, testing, and validation.
• Familiarity with responsible AI practices, including model evaluation, bias/error assessment, traceability, prompt/version management, and human-in-the-loop workflows.

Responsabilidades

• Design and build data pipelines to support the development and deployment of machine learning models and advanced analytics.
• Build analytical software and AI solutions that integrate R&D-specific data, models, and decision frameworks into intuitive user workflows.
• Build application containerization and orchestration within a cloud environment.
• Managing software deployment and configuration in non-production and production environments.
• Partner with R&D scientists, data scientists, and analytics teams to translate scientific and operational needs into scalable software solutions.
• Use AI-assisted software development tools to improve productivity, code quality, documentation, testing, while maintaining strong engineering judgment and accountability for final outputs.
• Evaluate emerging AI, agentic AI, and automation capabilities and identify where they can responsibly improve R&D analytics, experimentation, and decision support.
• Ensure solutions are scientifically valid, explainable where needed, reliable in production, and aligned with data governance, model governance, security, and compliance expectations.

Conocimientos

Python

Big data

AWS

APIs

Agentic AI

ML frameworks

Production ML

Educación

Master or PhD in Data Science / AI / CS

Herramientas

Snowflake

Databricks

Cloud-native apps

Descripción del empleo

Syngenta seeks an experienced R&D Analytics - AI Developer to build scalable software that analyzes experimental, phenotypic, genotypic, environmental, and pipeline data for Vegetable R&D. The role combines strong software engineering with applied AI to deliver decision-support tools and models.

You will collaborate with R&D scientists and analytics teams to translate need into robust software, deploying in cloud environments and ensuring governance and explainability where required.