Teams at Syngenta Group

Leads AI enablement across R&D IT, overseeing HPC, AI inference, agentic foundations, engineering AI, and upskilling. Owns infrastructure strategy, model serving, safety and evaluation frameworks, GPU procurement, vendor partnerships, architecture decisions, cost optimization, KPIs, and specialist engineering teams. Builds scalable, reliable, and responsibly operated AI capabilities while driving adoption and technical alignment across scientific and technology functions.

Owns and evolves HPC infrastructure supporting scientific computing and AI/ML workloads. Responsibilities include cluster architecture, GPU provisioning, storage, scheduling, orchestration, capacity planning, vendor management, procurement, performance optimization, security, disaster recovery, documentation, budgeting, and executive communication. Leads and mentors engineering teams while partnering with scientists, computational specialists, and bioinformaticians to deliver reliable, scalable infrastructure.

Develop predictive models, machine-learning, AI, and Generative AI solutions for Crop Protection R&D. Analyze complex scientific datasets, identify valuable AI use cases, validate and govern models, and deploy scalable analytical applications. Partner with scientists, software teams, and stakeholders to support product discovery and decision-making. Communicate insights, track performance metrics, document methodologies, and mentor junior data scientists.