Lead Architect Data & AI

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 domains 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 this context Employee may contribute to inventions designs other work product including know-how copyrights software innovations solutions and other intellectual assets.

Qualifications :

Bachelors 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  -  Work :

No

Employment Type :

Full-time