Lead Architect Data & AI at Syngenta Group

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Machine Learning, Artificial Intelligence, Domain-Driven Design, Microservices, Containerization, Automation, Performance Optimization, Quality Metrics, AWS, Data Platforms, Infrastructure as Code, DevOps, Python, SQL

Industry

Farming

Description

Company Description Join Syngenta Group, a leader in agricultural innovation where technology meets purpose. As digital pioneers in AgTech, we're integrating AI across our value chain from smart breeding to precision agriculture. Our global team of 56,000 professionals is transforming sustainable farming worldwide. At Syngenta IT & Digital, your expertise will directly impact food security and shape the future of agriculture through cutting-edge technology. Website address - https://www.syngentagroup.com/ Job Description Role purpose We are seeking a proactive and influential Data & AI Architect to act as a critical bridge between EDO Enterprise Architecture team and our diverse business units. This role will be embedded within a specific business function, serving as their dedicated expert to accelerate their data mesh, data science, ML, and AI initiatives. The goal of this role is to translate central architectural blueprints into tangible, high-value solutions that solve real-world business use cases. Accountabilities Architectural Enablement: Serve as the primary architect and trusted advisor on all data, ML, and AI initiatives, from ideation to production. Solution Design: Partner with business stakeholders and product teams to understand their use cases. Design and document end-to-end solutions that effectively apply our central blueprints and patterns for data mesh, MLOps, and AI services. Collaboration & Alignment: Act as the voice of the business unit within the central architecture community. Provide feedback to the central team to evolve and improve enterprise blueprints based on real-world application and business needs. Governance & Best Practices: Represent the functions in the central Design Authority, ensuring solutions are compliant, secure, scalable, and aligned with enterprise standards. Champion architectural best practices and data literacy within business unit. Strategic Guidance: Proactively identify opportunities within the business function where data and AI can create significant value, helping to shape the domain's data strategy and roadmap. Knowledge, experience & capabilities Experience with design patterns, Domain-Driven Design (DDD) principles and practices, including bounded contexts, domain models, and ubiquitous language. Familiarity with modern architecture patterns like serverless, microservices architecture patterns and best practices, including service decomposition, containerization, and orchestration with tools like Docker and Kubernetes. Proven track record of implementing automation strategies for build, test, deployment, and monitoring processes, using tools such as Jenkins, Github Actions, CircleCI or similar. Deep understanding of performance optimization techniques for applications, including code profiling, caching strategies, and resource management. Experience defining and implementing quality matrices for projects, including code coverage, static code analysis, and automated testing frameworks such as Jest, Mocha, or Jasmine. Deep, hands-on expertise with the AWS ecosystem, particularly data & AI services, security (IAM), and networking (VPC) Data & AI Platforms: Expert-level knowledge and practical experience with: Databricks, SageMaker, Bedrock, popular LLM Agenting Frameworks for building AI applications. Infrastructure as Code (IaC): Essential proficiency with Terraform or CloudFormation. DevOps Tools & Practices: Hands-on experience with CI/CD pipelines (e.g., GitLab CI, Jenkins) and containerization (Docker). Proven ability to implement and automate practices for DataOps, MLOps, and AgentOps Core Skills: Strong programming skills in Python & SQL Critical success factors & key challenges Needs to be motivated, creative and curious, with a customer-centric mind-set Able to engage with business and technical leaders with confidence and integrity A clear and effective communicator both at a team level and senior stakeholder level Able to manage ambiguity and ensure expectations are set appropriately The ability to balance a dynamic workload and prioritize effectively Comfortable working in a fast-paced environment and adapting to change Understand the main constraints and business objectives which our main stakeholder/business partners operate in Innovations Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets. Qualifications Bachelor’s degree in computer science, Information Technology, or related field Additional Information Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status. Follow us on: LinkedIn LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

Responsibilities

The Lead Architect Data & AI will serve as the primary architect and trusted advisor on all data, ML, and AI initiatives, translating architectural blueprints into practical solutions. This role involves collaborating with business stakeholders to design end-to-end solutions and ensuring compliance with enterprise standards.