Brazil
Bunge
Syngenta Group
Software Engineering Manager AI
Brazil
São Paulo, São Paulo, Brazil
AWS
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Company Description
About Syngenta
Syngenta is a world leader in agricultural innovation, with operations in more than 90 countries. Our mission is to empower farmers with advanced technologies and practices that allow us to feed the growing world population while preserving the planet for future generations. Our pioneering scientific discoveries provide superior benefits to farmers and society on an unprecedented scale. Guided by our Sustainability Priorities, we continuously develop technologies and solutions that help growers cultivate healthier plants in revitalized soil, maximizing productivity. Syngenta Crop Protection is headquartered in Basel, Switzerland, while Syngenta Seeds maintains its headquarters in the United States. Learn about our stories and follow our work on LinkedIn, Instagram & X.
Job Description
In IT & Digital, we want to transform agriculture through Artificial Intelligence, digital technology, and data. With a user-centric approach, we develop and maintain AI solutions that optimize our global seeds business and generate value for growers.
We are looking for a Software Engineering Manager – AI in Vegetable Seeds to lead the development of products that use Machine Learning, Generative Artificial Intelligence, and Advanced Analytics. You will connect complex supply chain data to digital solutions and work closely with the Head of IT & Digital and the Vegetable Seeds leadership to incorporate AI into global operations, from production and processing to quality and logistics.
The role combines people management, technical direction, and hands-on development, with equal importance across these fronts. You will take ownership of the architecture and the AWS environment, lead a team, and contribute directly with code. A priority will be to develop the team's autonomy and lead the knowledge transfer from partners to consolidate internal responsibility for the platform.
With a global scope and an active roadmap, this is an opportunity to build and scale Data and AI capabilities in a valuable division, influencing technical decisions, developing people, and expanding solutions to new crops and regions.
Responsibilities
- Develop and execute the engineering strategy for AI products, aligned with the global objectives of Vegetable Seeds;
- Lead the end-to-end development of applications, ensuring reliability, security, ethical AI standards, and a user-centric experience;
- Take ownership of the platform's AWS architecture and infrastructure, working with Cloud, Infrastructure, and Security experts to guide its evolution;
- Contribute with programming, code reviews, testing, and technical troubleshooting, maintaining direct participation in deliverables;
- Collaborate with AI Product Managers, Data Leads, Data Engineering, and the global Data organization to ensure quality pipelines and AI interfaces suitable for users;
- Identify deployment opportunities in the 85 countries where Vegetable Seeds operates, promoting the reuse of models, components, and best practices;
- Lead, mentor, and develop engineers, providing feedback and guidance, increasing their autonomy, and promoting continuous learning in AI;
- Manage budgets and timelines for initiatives, considering GPU resources, cloud computing, and high-performance data processing;
- Follow AI trends, such as Computer Vision for seed quality and RAG for internal knowledge management, evaluating their potential to generate value;
- Conduct knowledge transfer from partners to the internal team, including architecture, documentation, and the ability to maintain and evolve solutions;
- Build relationships with Product, business, AI Foundry, and global technology teams to resolve dependencies, communicate risks, and negotiate priorities;
Qualifications
Required
- 10 or more years of experience in product engineering, with at least 3 to 5 years specifically dedicated to implementing AI/ML at an enterprise scale;
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence/Machine Learning, Engineering, or a related field;
- Hands-on experience with AI frameworks, such as PyTorch and TensorFlow, cloud AI services, such as Databricks/AWS, and modern software architecture;
- Practical knowledge of AWS and current ability to program, review, test, and perform debugging, contributing directly to the construction and operation of solutions;
- Proven ability to apply AI to real-world supply chain, quality, or production problems in a global manufacturing or agricultural context.
- Solid experience leading high-performance distributed teams using agile methodologies to deliver AI value iteratively;
- Previous experience in people management, with responsibility for feedback, performance, and development of engineers; consistent experience with small teams is relevant for the role;
- Ability to build and develop technical teams, mentoring professionals with different levels of experience and autonomy;
- Experience in change management in large organizations and the ability to align technology initiatives with business objectives;
- Vision of how AI can generate value and innovation, with an entrepreneurial mindset and a focus on business results in a global digital transformation environment;
- Ability to translate complex AI concepts into useful information for business decisions, communicate with non-technical audiences, and participate in discussions and alignments in English;
- Ability to build relationships between technical and business teams, understand constraints, negotiate dependencies, and resolve disagreements collaboratively;
- Maturity to handle pressure, delays, and changing priorities respectfully, communicate risks early, and offer constructive feedback;
- Sense of ownership, initiative to solve problems, and openness to receive feedback, recognize limits, and adjust one's own performance.
Preferred
- Experience in transferring solutions from vendors or consultancies to internal teams;
- Experience in expanding products to different regions or cultures and in applications for demand forecasting, inventory replenishment, or batch allocation.
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. We offer 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, Education 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, veteran status, disability, or any other legally protected status.
Be part of a leading company that brings plant potential to life.
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