Company Description Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. Company Description Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. Job Description What You'll Do Lead and apply deep expertise in AI infrastructure and MLOps to deliver durable, scalable outcomes. Lead and apply deep expertise in model serving and inference optimisation to deliver durable, scalable outcomes. Lead and apply deep expertise in vector databases and LLM-adjacent tooling to deliver durable, scalable outcomes. Lead and apply deep expertise in scientific HPC and GPU scheduling literacy to deliver durable, scalable outcomes. Lead and apply deep expertise in AI safety, evaluation and guardrails to deliver durable, scalable outcomes. Lead and apply deep expertise in engineering leadership of specialists to deliver durable, scalable outcomes. Collaborate across engineering, product and scientific teams to translate complex needs into practical solutions. Set a high bar for quality, documentation and thoughtful use of AI-assisted engineering. Develop and communicate a strategic roadmap for AI enablement technologies that aligns with organisational objectives and scientific innovation goals. Establish performance metrics, monitoring frameworks and evaluation criteria to measure the effectiveness and impact of AI infrastructure investments. Build and mentor a high-performing team of AI and ML specialists, fostering a culture of continuous learning and technical excellence. Evaluate emerging AI technologies and tools, conducting proof-of-concept initiatives to assess suitability for R
Lead AI Enablement Technology employer: Syngenta
Syngenta is an exceptional employer, offering a vibrant work culture at the Jealott's Hill site where innovation thrives. Employees benefit from extensive professional development opportunities, a supportive team environment, and a commitment to work-life balance, making it an ideal place for those looking to make a meaningful impact in the field of metabolomics.
