Jobs at Syngenta Group

Lead and manage data and engineering teams for the Data Mesh platform, drive product delivery and modernization of AI/BI and agentic analytics, implement cloud/containerized solutions, and recruit, mentor, and evaluate team members to deliver scalable data engineering practices.

Lead capability development for North & East India sales teams by assessing gaps, designing and delivering blended learning programs, deploying learning platforms, measuring impact, driving change management, and coordinating with country and APAC MaSE to improve field force effectiveness. Requires stakeholder management, program rollout, and significant travel.

Support and maintain Syngenta's PlaTO digital manufacturing platform globally: triage support tickets, manage OutSystems and data infrastructure (HighByte, PostgreSQL, Databricks), ensure data quality and ISA-88/95 compliance, coordinate rollouts, create documentation and training, liaise with IT/vendors, and monitor platform performance to prevent operational impact.

Build and maintain high-performance Next.js + TypeScript web applications for an AI assistant platform. Implement state management (Redux Toolkit, Zustand), consume streaming SSE endpoints for live AI interactions, craft responsive Tailwind CSS UIs, optimize performance and bundle size, write tests, and collaborate with backend and data science teams.

Design, develop, and deploy end-to-end AI applications combining generative agents and RAG pipelines. Build autonomous/multi-agent systems, production-grade RAG with vector DBs, interactive React JS interfaces, Java (Spring Boot) backends, and deploy the stack on AWS (Lambda, ECS).

Build and maintain OutSystems front-end applications for Syngenta's PlaTO manufacturing platform. Co-design with manufacturing users to translate ISA-88/95 processes into responsive UIs, reusable components, dashboards, and integrated workflows. Support integrations, performance optimization, agile delivery, documentation, deployments, and user acceptance to drive platform adoption and standardized operational workflows across global sites.

Support Direct Procurement activities on SAP S4 HANA FIORI: manage outline agreements, review price-blocked invoices, process PO amendments, maintain material and vendor master data via MDG, handle SNOW tickets and reporting, meet monthly KPIs, and collaborate with validator, verifier and regional procurement teams.

Lead DevOps and SRE practices for enterprise data and AI platforms: design CI/CD and IaC, own cloud operations, define SLOs/SLIs, drive observability, incident response, and mentor platform engineers to ensure reliability, scalability, security, and operational excellence.

Design, develop, test and deploy RICEFW solutions in S/4HANA. Build integrations (OData, REST, RFC/IDoc), optimize performance, support production, collaborate with functional teams, and document technical designs.

Lead design and implementation of a scalable AI Innovation Platform. Define architecture, best practices, and integrations with cloud, container orchestration, databases, CI/CD, and AI services. Collaborate with product, design, and engineering teams, prototype solutions, guide technical decisions, and upskill teams on AI-enabled software development.

Lead architecture, design, and delivery of scalable full‑stack (Java/Python + React) applications on AWS. Own feature lifecycle, mentor engineers, enforce engineering best practices (CI/CD, automated testing, IaC), optimize performance, and support production reliability.

Lead end-to-end e-sourcing events using SAP Ariba, perform spend analysis to identify savings, design and run e-auctions, deliver training on digital procurement, and drive global adoption of e-sourcing practices to optimize supplier engagement and costs.