R&D AI Engineer for Scientific Analytics

Syngenta Group; Región Centro; Hybrid; MXN 850,000 - 1,400,000; Full time

Job summary

Syngenta Group is seeking an R&D Analytics - AI Developer to design data pipelines and AI-driven software for vegetable crop data. You will collaborate with scientists to deploy scalable analytics tools across R&D, ensuring production-ready, governed solutions that leverage AI assistants and domain knowledge.

The role requires a Master/PhD in a related field, 5+ years of software engineering with Python, and experience with Snowflake, Databricks, AWS, and API technologies to deliver robust

Qualifications

• Master or PhD in Data Science, Artificial Intelligence, Computer Science, Quantitative Genetics, or a related field.
• A minimum of 5years 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.

Responsibilities

• 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.

Skills

Python programming

Agentic AI

Large language models

Data pipelines

Software engineering

Education

Master or PhD in Data Science / AI / CS / Quantitative Genetics

Tools

Snowflake

Databricks

AWS

RESTful APIs

GraphQL

Job description

Syngenta Group is seeking an R&D Analytics - AI Developer to design data pipelines and AI-driven software for vegetable crop data. You will collaborate with scientists to deploy scalable analytics tools across R&D, ensuring production-ready, governed solutions that leverage AI assistants and domain knowledge.

The role requires a Master/PhD in a related field, 5+ years of software engineering with Python, and experience with Snowflake, Databricks, AWS, and API technologies to deliver robust