Syngenta Group: Staff Engineer - AI Technology — Pune, MAHĀRĀSHTRA, India

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 Staff Engineer - AI Technology in Pune, MAHĀRĀSHTRA, India, under reference 18074043. 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: 31 August 2026
• Brands: Syngenta Group

Responsibilities and work described

• Position Summary:
• 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 Data & Analytics is seeking a Staff Engineer- AI in Pune
• This role will be responsible for designing and implementing a robust, scalable, and maintainable solution em-powering our organization scale and innovate with AI
• This platform will support engineering teams across Syngenta to leverage resources from hyper scalers, internal Data Science teams, as well as building core re useable services
• Work: closely with our Product Manager, Product Designer, and Engineering teams to design the platform, define best practices, and guide technical decisions ensuring the overall quality and performance of the platform
• The ideal candidate will have a background as a Staff Engineer or as an Architect and some experience implementing and using AI (LLM or otherwise) based solutions
• Leadership: the design and architecture of the AI Innovation Platform ensuring scalability, maintainability, and performance
• Collaboration: with development teams to understand requirements and provide architectural guidance and support
• Define and promote best practices for software development utilizing AI helping to upskill our teams with new design and architectural patterns
• Stay up to date on latest trends and new technologies in the AI space, evaluate their potential to introduce into our ecosystem based on their potential impact
• Work: closely with Product and Business stakeholders to understand the needs of the business and engineering teams ensuring the platform meets the needs of the users
• Define implementation approaches, algorithms, and code structures to meet requirements
• Architecture: experience and responsibility includes defining, prototyping and recommending the technology solutions, detailing the implementation design and identifying interfaces with other products for integration
• Derive architecturally significant software requirements both functional and quality attributes
• Technical discussions with project partners in globally distributed team

Essential requirements and candidate background

• Education & Experience: Graduate with 10–12 years of experience in design and development, with Object-Oriented Programming fundamentals and troubleshooting, written, and verbal communication skills
• Architecture & Design Principles: Hands-on experience with design patterns, Domain-Driven Design (DDD), Spec-Driven Design (SDD), microservices, serverless architectures, and containerization/orchestration using Docker and Kubernetes
• DevOps & Automation: ability to implement CI/CD pipelines and automation strategies for build, test, deployment, and monitoring using tools like Jenkins, GitHub Actions, or CircleCI
• Performance, Quality & API Standards: grasp of performance optimization (profiling, caching, resource management), code quality frameworks (Jest, Mocha, Jasmine, static analysis), and RESTful/GraphQL API design with a focus on clean, maintainable code
• AI Awareness & Emerging Technologies: Up to date with the latest AI technologies and tools, with the ability to evaluate and recommend appropriate solutions aligned to project requirements
• Architecture Depth & Design Thinking: grasp of advanced design patterns, DDD, SDD, microservices, and serverless architectures, with hands-on experience in service decomposition, containerization (Docker), and orchestration (Kubernetes) at scale
• DevOps, Quality & Performance Engineering: Experience building end-to-end CI/CD pipelines (Jenkins, GitHub Actions, CircleCI), implementing quality metrics (code coverage, static analysis, automated testing), and applying performance optimization techniques including profiling, caching, and resource management
• Cloud, Data & API Proficiency: Expertise in AWS for deploying scalable applications, with broad database experience (SQL and NoSQL) and command of RESTful and GraphQL APIs, backed by a benchmarking and clean-code mindset
• AI & Emerging Technology Fluency: Stays current with evolving AI tools and technologies, with the ability to critically evaluate and select the right stack based on project context and business need
• Stakeholder Engagement & Communication: Confident communicator at both team and senior leadership levels, able to translate technical concepts for business audiences, manage ambiguity, set expectations clearly, and operate with integrity
• Adaptability & Customer-Centric Mindset: Self-motivated, curious, and creative; comfortable in fast-paced, changing environments with the ability to balance competing priorities while keeping business objectives and stakeholder needs at the center

Preferred experience and additional strengths

• Cloud & Database Expertise: Proficiency in AWS (preferred) for deploying and managing scalable applications, with working knowledge of SQL and NoSQL databases including PostgreSQL, MySQL, Redis, MongoDB, and DynamoDB

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Pune, MAHĀRĀSHTRA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Engineer - AI Technology vacancy is not an offer for reference 18074043; 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 18074043.

Compare your qualifications and experience with the essential conditions for the Pune, MAHĀRĀSHTRA, India 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: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• NoSQL
• Kubernetes
• CI/CD
• Docker
• AWS
• APIs
• AI/ML
• LLMs
• AI
• agriculture
• stakeholder management