Syngenta Group: Software Engineering Manager AI — Sao Paulo, SÃO PAULO, Brazil

About Syngenta Group

Syngenta Group works in agricultural technology and crop-related innovation. Its employer descriptions connect scientific development and crop solutions with helping farmers use resources effectively and improve how crops are grown. Material from its vegetables-and-flowers business also identifies seed breeding for different climates and horticultural needs. Across these activities, the stated business purpose links agricultural production with resource use and environmental concerns, bringing scientific and technological work to practical farming and growing conditions.

The position and its setting

Syngenta Group lists Software Engineering Manager AI in Sao Paulo, SÃO PAULO, Brazil, under reference 18076793. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: IT & Digital
• Employment type: Full-time
• Employer listing date: 21 October 2026
• Brands: Syngenta Seeds

Responsibilities and work described

• Within IT & Digital, we aim to transform agriculture through Artificial Intelligence, digital technology, and data
• With a user-centered approach, we develop and maintain AI solutions that optimize our global seeds business and create value for growers
• A Software Engineering Manager – AI to join our Vegetable Seeds business and lead the development of products leveraging Machine Learning, Generative AI, and Advanced Analytics
• Connect complex supply chain data with digital solutions and work closely with the Head of IT & Digital and Vegetable Seeds leadership to embed AI into global operations-from production and processing to quality and logistics
• This role combines people management, technical leadership, and hands-on development, with equal importance across these areas
• Take ownership of the platform’s architecture and AWS environment, lead a team, and contribute directly to the codebase
• A key priority will be to build team autonomy and lead knowledge transfer from partners, consolidating internal ownership of the platform
• Development: and execute the engineering strategy for AI products, aligned with global Vegetable Seeds objectives
• Leadership: end-to-end application development, ensuring reliability, security, ethical AI standards, and a user-centered experience
• Take ownership of the platform’s AWS architecture and infrastructure, working with Cloud, Infrastructure, and Security specialists to guide its evolution
• Contribution: through coding, code reviews, testing, and technical troubleshooting, maintaining direct involvement in delivery
• Collaboration: with AI Product Managers, Data Leads, Data Engineering, and the global Data organization to ensure high-quality pipelines and AI interfaces that meet user needs
• Identify deployment opportunities across the 85 countries where Vegetable Seeds operates, promoting the reuse of models, components, and best practices
• Lead, support, and develop engineers by providing feedback and mentoring, increasing team autonomy and fostering continuous learning in AI
• Management: initiative budgets and timelines, considering GPU resources, cloud computing, and high-performance data processing
• Monitoring: AI trends, such as Computer Vision for seed quality and Retrieval-Augmented Generation (RAG) for internal knowledge management, assessing their potential to create value

Essential requirements and candidate background

• Required
• 10+ years of product engineering experience, including at least 3–5 years specifically focused on implementing AI/ML at enterprise scale
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence/Machine Learning, Engineering, or a related field
• Experience: AI frameworks such as PyTorch and TensorFlow; cloud AI services such as Databricks and AWS; and modern software architecture
• Practical AWS knowledge and current ability to code, review, test, and debug, contributing directly to the development and operation of solutions
• Ability to apply AI to real-world supply chain, quality, or production challenges within a global manufacturing or agricultural environment
• Experience leading high-performing, distributed teams using agile methodologies to deliver AI value iteratively
• Previous people-management experience, including responsibility for feedback, performance, and engineers’ development; consistent experience leading small teams is relevant to this role
• Build and develop technical teams, guiding professionals with different levels of experience and autonomy
• Experience managing change in large organizations and aligning technology initiatives with business objectives
• A vision for how AI can create value and innovation, with an entrepreneurial mindset and focus on business outcomes in a global digital-transformation environment
• Translate complex AI concepts into useful insights for business decisions, communicate with non-technical audiences, and participate in discussions and alignment meetings in English
• Build relationships across technical and business teams, understand constraints, negotiate dependencies, and resolve disagreements collaboratively
• Maturity to handle pressure, delays, and shifting priorities respectfully; communicate risks early; and provide constructive feedback
• A sense of ownership, initiative to solve problems, and openness to receive feedback, recognize limitations, and adjust one’s approach

Preferred experience and additional strengths

• Experience transitioning solutions from vendors or consulting partners to internal teams
• Experience scaling products across different regions or crops, as well as applications involving demand forecasting, inventory replenishment, or lot allocation

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Hybrid
• Advertised location: Sao Paulo, SÃO PAULO, Brazil

Benefits mentioned by the employer

• A comprehensive benefits package-including medical, dental, and vision coverage-starting on your first day
• Paid Time Off, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, and additional benefits
• Join a leading company that brings plant potential to life
• #LI-Hybrid

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Software Engineering Manager AI vacancy is not an offer for reference 18076793; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Syngenta Group

Applications follow the official employer page linked below.

Open the official Syngenta Group posting below and match the title and reference 18076793.

Compare your qualifications and experience with the essential conditions for the Sao Paulo, SÃO PAULO, Brazil position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• AI/ML
• machine learning
• AI
• supply chain
• logistics
• agriculture
• commercial negotiations
• problem resolution
• manufacturing
• inventory