Brazil
C6 Bank
Syngenta Group
AI Solution Engineer
Brazil
São Paulo, São Paulo, Brazil
AWSDockerKubernetes
Automatic translation. Check the original.
Company Description
About Syngenta
Syngenta is a global leader in agricultural innovation, with operations in over 90 countries. Our mission is to empower farmers with advanced technologies and practices that enable us to feed the world's growing population while preserving the planet for future generations. Our pioneering scientific discoveries deliver superior benefits to farmers and society on an unprecedented scale. Driven by our Sustainability Priorities, we continuously develop technologies and solutions that help growers cultivate healthier plants on revitalized soils, maximizing productivity. Syngenta Crop Protection is headquartered in Basel, Switzerland, while Syngenta Seeds is headquartered in the United States. Learn about our stories and follow our work on LinkedIn, Instagram & X.
Job Description
At Syngenta, we are expanding the use of Artificial Intelligence to transform how our teams work, make decisions, and build digital solutions.
Within Seeds Production & Supply, we are developing an internal AI Engineering capability to transform Artificial Intelligence opportunities into real, reliable solutions integrated into our products and processes.
We are looking for an AI Solution Engineer with a technical and hands-on profile, capable of transforming prioritized AI concepts and opportunities into solutions that effectively work in a production environment.
This person will work integrated into multidisciplinary pods, in partnership with AI Solution Leads, Product Owners, Software Engineers, Data Scientists, and business specialists, contributing from technical evaluation and detailed solution design to prototyping, implementation, testing, integration, and deployment.
More than someone who just recommends technologies or creates isolated proofs of concept, we are looking for someone who enjoys building, testing hypotheses, evaluating results, solving technical problems, and quickly transforming good ideas into AI capabilities that generate business value.
The position has a global scope and offers the opportunity to work with different types of problems, from Generative Artificial Intelligence and AI agents to Machine Learning, forecasting, recommendation, and optimization.
Responsibilities
- Work within product pods to transform prioritized Artificial Intelligence opportunities into functional, reliable, and scalable technical solutions;
- Partner with AI Solution Leads, Product Owners, and other pod members to translate opportunities and requirements into clear, implementable technical solutions;
- Evaluate technical feasibility, data needs, dependencies, implementation effort, and expected results before building the solution;
- Design AI-based solutions considering architecture, data, models, evaluation, integration, scalability, security, and user experience;
- Act hands-on in building prototypes and production-ready components;
- Develop, test, integrate, and implement models, AI agents, recommendation systems, and other intelligent capabilities;
- Work with Generative Artificial Intelligence, including prompt engineering, agents, tool usage, orchestration, and agentic workflows;
- Evaluate model and agent outputs, prompt behavior, edge cases, and response quality, performing debugging and adjustments as needed;
- Work in partnership with Software Engineers responsible for the traditional and transactional components of applications, primarily taking responsibility for Artificial Intelligence capabilities;
- Collaborate with Data Scientists and other specialists when specific problems require deeper expertise in Machine Learning, NLP, Computer Vision, optimization, or other disciplines;
- Work closely with Product Owners to contribute to Artificial Intelligence-related requirements and ensure the technical solution is aligned with the product need;
- Apply Responsible AI principles, security, privacy, and organizational architectural standards;
- Utilize modern AI-assisted development tools where appropriate, maintaining responsibility for the technical quality of solutions;
- Identify and share patterns, reusable components, and best practices that can accelerate future AI Engineering initiatives;
- Work collaboratively in a global, multidisciplinary, and constantly evolving environment.
Qualifications
Required
- Hands-on experience in building, implementing, and delivering Artificial Intelligence or Machine Learning solutions used in real products, applications, or processes;
- Solid programming and Software Engineering fundamentals, including the ability to develop, review, test, and debug technical solutions;
- Experience integrating AI components into existing applications, APIs, systems, or workflows;
- Broad knowledge of Artificial Intelligence and Machine Learning, with the ability to work on different types of problems and recognize when specialists need to be involved;
- Experience with evaluating and validating AI solutions, including analyzing outputs, testing, edge cases, and troubleshooting;
- Experience working in cloud environments;
- Ability to work collaboratively with professionals from Product, Software Engineering, Data Science, business, and other disciplines;
- Hands-on, curious, and problem-solving oriented profile, with the ability to work in environments with varying priorities and dependencies;
- Strong communication and collaboration skills, maintaining a constructive attitude even in situations of pressure or roadblocks;
- Advanced English for daily work in a global environment and interaction with teams from different regions.
- Practical profile, with an interest in building, testing, and iterating solutions – not just recommending paths;
- Autonomy to work in unstructured contexts, constructively dealing with changing priorities, dependencies, and pressure;
- Curiosity to understand the business context and translate needs into relevant solutions;
- Sense of ownership and responsibility for the quality, evolution, and impact of the built solutions;
- Continuous interest in keeping up with the rapid evolution of Artificial Intelligence technologies and in constant learning.
Preferred
- Experience with AWS;
- Knowledge of Amazon SageMaker or other AWS AI/ML services;
- Hands-on experience with Generative Artificial Intelligence and Large Language Models;
- Experience building AI Agents capable of using tools, interacting with systems, or performing tasks;
- Experience with RAG, orchestration, and agentic workflows;
- Experience using AI-assisted development tools or coding agents in the software development lifecycle;
- Knowledge of MLOps and deployment/monitoring practices for Machine Learning and AI solutions;
- Experience with APIs, systems integration, CI/CD, Docker, or Kubernetes;
- Experience working in product teams or multidisciplinary pods;
- Knowledge of Responsible AI and best practices related to the security, privacy, and governance of Artificial Intelligence solutions;
- Experience in problems related to forecasting, recommendation, optimization, NLP, or Computer Vision will be considered a plus;
- Previous experience in enterprise environments, Supply Chain, production, agriculture, or agribusiness will be considered a plus, but is not mandatory.
Additional Information
What we offer
A culture that celebrates diversity and inclusion, promotes professional development, and seeks a work-life balance that supports team members. Offers flexible work options to meet your professional and personal needs.
Comprehensive benefits package (medical, dental, and vision) that starts on your first day.
Paid Time Off, Maternity and Paternity Leave, Educational Assistance, Wellness Programs, Corporate Discounts, among other benefits.
Syngenta is an equal opportunity employer and does not discriminate in recruitment, hiring, training, promotion, or any other employment practices on the basis of race, color, religion, sex, national origin, age, sexual orientation, marital status or veteran status, disability, or any other legally protected status.
Be part of a leading company that brings the potential of plants to life.
#LI-Híbrido
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