Work with divisions and group stakeholders to identify common AI needs across use cases, run joint proofs of concept with division teams where this accelerates learning, and shape the results into candidate accelerators, patterns and standards with clear, measurable value.
Partner with data and AI project and delivery teams to embed robust data governance practices and responsible AI practices throughout the full data and AI development lifecycle
Architect and lead enterprise-scale AI, GenAI and Agentic AI solutions across Knowledge Management, Data Engineering, Data Management and Application Development use cases, from solution design and PoC/MVP through implementation to production.
Develop AI/ML models for business applications. Depending on project needs and your expertise, contribute to one or more areas including search and recommendation, marketing decision-making, demand and replenishment forecasting, logistics optimisation, and AI agents.
Architect and lead enterprise-scale AI, GenAI and Agentic AI solutions across Knowledge Management, Data Engineering, Data Management and Application Development use cases, from solution design and PoC/MVP through implementation to production.
Collaborate with cross-functional teams (Production, Quality, and Customers) to define suitable materials, chemicals, and plating parameters to meet product specifications and quality requirements for new product introduction (NPI).
Own and lead the development of Gradiant’s mineral extraction technologies from laboratory concept through pilot validation, scale-up and commercial deployment, covering extraction, purification, concentration and conversion to the final products.