Job description

AIQ, a venture between Presight (G42) and ADNOC, is building software and AI products for well surveillance, artificial-lift optimisation and autonomous production, and it needs a production engineer who has made real wells perform better. Reporting to Christophe Van Laer as a principal individual contributor in Abu Dhabi, you lead the engineering for ESP, gas-lift and naturally flowing well workflows. Software engineers, AI scientists and controls specialists depend on your domain input as products move from diagnosis and recommendations to validated closed-loop operation. Well-performance models based on nodal analysis, inflow and outflow relationships and fluid properties need building, calibrating and challenging, in partnership with the PTA SME. Requirements for virtual flow metering, sensor validation, anomaly detection and equipment-health models also come from you. Operating practice gets translated into decision logic for start-up, shutdown, recovery and optimisation, always preserving independent protection and operator override. Validation runs from historical replay and simulation through advisory pilots to supervised closed-loop trials, with field results measured against credible baselines. At least 12 years of relevant experience is expected, including recent hands-on work with producing wells, deep ESP engineering and substantive gas-lift optimisation. PROSPER, PIPESIM, DesignRite or equivalent tools, along with historian or SCADA data, should be familiar, and closed-loop, APC, Python/SQL or offshore Middle East experience would add weight.