No detailed description provided.
⢠Develop and execute the mine site AI strategy, aligning AI initiatives with operational priorities in mining, processing, maintenance, and safety ā ensuring AI investments deliver tangible production and cost outcomes. ⢠Lead the identification, scoping, and business case development for high-value AI use cases across mining, processing, smelter and support services. ⢠Oversee the full lifecycle of AI solutions from data acquisition and model development through to production deployment, performance monitoring, and continuous improvement ā using MLOps/LLMOps best practices in mine environments. ⢠Direct the integration of AI and machine learning models with operational technology (OT) systems including SCADA, fleet management systems (FMS), mine planning tools, historians, and condition monitoring platforms. ⢠Lead and mentor a team of AI Engineers, Data Scientists, and AI Specialist, fostering a high-performance culture focused on innovation, collaboration, and skills development within the AI section. ⢠Partner with Mine Operations, Maintenance, Geology, Survey, Processing, and Safety teams to embed AI-driven insights into daily workflows, planning cycles, and decision-making processes. ⢠Oversee the development and deployment of predictive maintenance models for critical mining assets including shovels, trucks, conveyors, mills, pumps, and compressors ā leveraging vibration, thermal, and operational data. ⢠Drive the implementation of computer vision across mining, processing, smelter and safety to deliver operational improvements ⢠Champion the use of AI-powered production optimisation tools including real-time fleet dispatch, drilling and blasting intelligence, ore body modelling, and pit-to-plant integration using digital twin technologies. ⢠Manage vendor relationships and technology partnerships for AI platforms, cloud services, and specialist AI solution providers relevant to the mining sector. ⢠Develop and manage the AI section budget including capital expenditure for AI infrastructure, operational costs, licencing, and training ā ensuring spend delivers measurable return on investment. ⢠Drive AI literacy and adoption across the mine site through structured training programmes, workshops, and targeted enablement sessions for operational and technical teams. ⢠Produce executive-level reporting on AI programme performance, value delivered, risks, and the forward roadmap for presentation to site and group leadership. ⢠Ensure all AI solutions comply with applicable regulatory requirements, environmental standards, and First Quantum Minerals data governance and cybersecurity policies. ⢠Stay abreast of emerging AI research, mining technology trends, and industry best practices ā translating relevant advances into actionable opportunities for the site.
Posted
September 19th, 2026
This job listing was sourced by AkiliBrain's automated data pipeline from a publicly accessible employer career page or job board. Listings are indexed daily and verified against the original source. AkiliBrain does not charge employers for listing and does not endorse any specific employer or role.
To apply, use the official link provided by the employer. If you believe this listing contains inaccurate information, please contact our editorial team.
Source: AkiliBrain Jobs & Careers Intelligence ā updated daily from employer portals across East Africa.
Company
First Quantum Mineral
Location
Zambia
Deadline
October 19th, 2026
in 11 days