AI Solutions Lead

The AI Solutions Lead will be responsible for:

• Architectural Leadership: Leading the design and architecture of AI solutions, ensuring scalability, maintainability, and optimal performance.
• Technical Guidance: Collaborating with development teams to understand requirements and provide expert architectural guidance and support.
• Business Alignment: Working closely with Product and Business stakeholders to understand their needs and ensure the AI platform effectively meets user requirements.
• Cross-functional Collaboration: Partnering with cross-functional stakeholders to translate complex business requirements into robust technical solutions.
• Solution Definition: Defining clear implementation approaches, algorithms, and code structures for AI solutions.
• Successful Solution Delivery: Taking ultimate accountability for the successful end-to-end delivery of AI solutions, ensuring they are implemented, deployed, and operationalized effectively, meet defined business objectives, adhere to architectural designs and quality standards, and are delivered within project timelines.
• Technology Scouting: Staying abreast of the latest trends and emerging technologies in the AI space, evaluating their potential impact, and recommending their introduction into Syngenta's ecosystem.
• Experience Architecture: Defining, prototyping, and recommending technology solutions, detailing implementation designs, and identifying interfaces for integration with other products.

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.

• Education:
  • Degree in Computer Science, AI, ML, Data Science, Engineering, or a related field.
• Experience:
  • 4+ years of progressive experience in designing, architecting, and leading the end-to-end delivery of complex AI/ML solutions in a cloud environment.
  • Demonstrated expertise in AI/ML solution architecture, including model development, deployment, MLOps (Machine Learning Operations), and scalable data pipelines.
  • Proven experience with major cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services, specifically in building and operationalizing AI solutions.
  • Strong understanding of SQL and NoSQL databases, and experience with data warehousing/data lake concepts relevant to AI/ML workloads.
  • Experience with SAP fundamentals and SAP Joule, or similar enterprise resource planning (ERP) systems, particularly concerning data integration for AI solutions.
  • Track record of successfully leading technical teams or projects, demonstrating strong project delivery capabilities.
• Skills:
  • Deep technical expertise in AI/ML concepts, algorithms, and frameworks.
  • Proficiency in programming languages commonly used in AI/ML (e.g., Python, R, Java) for development, prototyping, and integration.
  • Strong architectural design skills for building scalable, robust, and maintainable AI systems that meet performance and security requirements.
  • Excellent analytical, critical thinking, and complex problem-solving abilities, with a proven capacity to translate complex business challenges into effective AI solutions.
  • Exceptional communication, presentation, and stakeholder management skills, with the ability to articulate complex technical concepts clearly to diverse audiences (technical and non-technical).
  • Ability to lead, mentor, and collaborate effectively within cross-functional and agile teams.
  • Demonstrated ability to prototype, evaluate, and recommend new technologies and innovative AI solutions, aligning with strategic business objectives.

Critical success factors & key challenges

• Solution Design Excellence: Demonstrating strong solution design, logical thinking, and reasoning skills.
• Prototyping & Evaluation: Ability to deliver Proofs of Concept (POCs) and Minimum Viable Products (MVPs), and conduct technology evaluations using design thinking practices.
• Strategic Prioritization: Orchestrating efforts to prioritize business initiatives across complex and evolving change agendas.
• Stakeholder Management: Excellent communication and stakeholder management skills, including the ability to explain complex technical information to non-technical audiences.
• Problem Solving & Decision Making: Strong capabilities in problem-solving and decision-making.
• Team Leadership: Proven teamwork, team management, and leadership skills.

We are a leading, science-based agriculture company, empowering farmers to meet the demands of modern agriculture. Using cutting-edge innovation, we help farmers to grow resilient, healthy crops that can feed a growing global population, while promoting sustainable farming practices that protect and enhance our planet. Headquartered in Switzerland, we are a global agritech leader with more than 30,000 employees across over 90 countries.

https://www.syngenta.com/company