AI Solutions Developer
About The Position
At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Analytics & Data Sciences Team is seeking an AI Solutions Developer in Durham, NC. This role will create software solutions that enable R&D teams to analyze experimental, phenotypic, genotypic, environmental, operational, and pipeline data at scale. The successful candidate will combine strong software engineering, applied AI, and scientific data understanding to deliver tools that improve decision-making across Vegetable R&D. The AI Solutions Engineer requires fluency in modern AI-assisted development tools, such as internal AI platforms, while also being able to design solutions that go beyond generic AI by embedding R&D-specific models, datasets, workflows, and domain logic. We are looking for someone who does not simply use AI tools, but knows how to build beyond them. The ideal candidate will use AI platforms and modern AI development assistants to accelerate delivery, while also creating differentiated R&D solutions that depend on Syngenta’s scientific data, models, experimental context, and domain expertise.
Requirements
- Master’s in Data Science, AI, Computer Science, Quantitative Genetics, or a related field, PhD preferred.
- 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, such as 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.
- Develop end-to-end analytical pipelines and AI solutions.
- Build application containerization and orchestration within a cloud environment.
- Manage software deployment and configuration in non-production and production environments.
- Partner with R&D scientists, data scientists, breeders, and analytics teams to translate scientific and operational needs into scalable software solutions.
- Build applications and analytical tools that integrate R&D-specific data, models, and decision frameworks into intuitive user workflows.
- Use AI-assisted software development tools to improve productivity, code quality, documentation, testing, and solution design, 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.
Benefits
- Medical, Dental & Vision insurance
- 401k plan with company match
- Profit Sharing
- Retirement Savings Contribution
- Paid Vacation
- Paid Holidays
- Maternity Leave
- Paternity Leave
- Education Assistance
- Wellness Programs
- Corporate Discounts
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What This Job Offers
Job Type
Full-time
Career Level
Senior
