AI Solutions Developer

RiseMe; Durham (NC); On-site; USD 88,000 - 132,000; Full time

Benefits offered by this job

Culture of belonging and collaboration

Full benefits package starting day one

401k with match and profit sharing

Paid vacation and holidays

Maternity and paternity leave

Education assistance

Wellness programs

Corporate discounts

Job summary

Syngenta’s Analytics & Data Sciences Team in Durham, NC is seeking an AI Solutions Developer to design and deliver scalable software for R&D data. You will build data pipelines, AI-powered analytics, and cloud-based deployments, collaborating with scientists, data scientists, breeders, and analytics teams to translate complex biological data into actionable insights while ensuring governance and security.

The role focuses on using AI platforms and agentic AI tools to accelerate delivery, create

Qualifications

• Bachelor’s degree with 3+ years of relevant work experience in data science or AI.
• Familiarity with AI and ML frameworks.
• Strong knowledge 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 (Snowflake, Databricks).
• Experience deploying ML models in production.
• Cloud-native applications and AWS expertise.
• Experience with API technologies (REST/GraphQL).
• Experience building software for scientific/R&D data domains.
• Ability to use AI coding assistants responsibly with validation.

Responsibilities

• Designing and building data pipelines to support ML models and analytics.
• Developing end-to-end analytical pipelines and AI solutions.
• Building containerization and orchestration in a cloud environment.
• Managing software deployment and configuration in non-production and production environments.
• Partner with R&D scientists, data scientists, breeders, and analytics teams to translate needs into scalable software.
• Build apps/tools integrating data, models, and decision frameworks into user workflows.
• Use AI-assisted development tools to improve productivity, code quality, and tests.
• Evaluate emerging AI capabilities and identify where they improve analytics and decision support.
• Ensure solutions are scientifically valid, explainable, reliable, and compliant with governance standards.

Skills

Python programming

AI frameworks

Agentic AI

End-to-end software

ML deployment

Cloud native apps

REST/GraphQL APIs

AI coding assistants

Responsible AI

Big data concepts

Education

Bachelor's degree with 3+ years experience

Master or PhD in Data Science/AI/CS

Tools

Snowflake

Databricks

AWS

RESTful APIs

GraphQL

Docker

Job description

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 role requires fluency in modern AI-assisted development tools, including 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.

Accountabilities:

• Designing and building data pipelines to support the development and deployment of machine learning models and advanced analytics.
• Developing end-to-end analytical pipelines and AI solutions.
• Building 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, 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.

PLEASE NOTE:

Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This comprises, but is not limited to, OPT, CPT, and H-1B visa holders.

• Bachelor’s degree with at least three years of working experience, or Master or PhD in Data Science, Artificial Intelligence, Computer Science, Quantitative Genetics, or a related field.
• Familiarity with AI and machine learning frameworks.
• Strong knowledge and exprience 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.

This role can be based in multiple Syngenta locations across Europe and the Americas.

Salary for this position ranges between $88,000 - $132,000 annually.

What We Offer:

• A culture that celebrates belonging and collaboration, promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
• Full Benefit Package (Medical,Dental& Vision) that starts your first day.
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Syngenta has been ranked as atop employerby Science Journal. Learn more about ourteamand our mission here:https://www.youtube.com/watch?v=OVCN_51GbNI

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training,promotionor any other employment practices for reasons ofrace, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

WL: 4B

#LI-hybrid

About Syngenta

At Syngenta Seeds Field Crops,we'reshaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel.We’rea global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities.We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance.Our seeds help mitigate risks such as disease,insect,weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.