Senior Specialist - Production Engineer
G42 is hiring a Senior Specialist - Production Engineer in Abu Dhabi, United Arab Emirates. Level rates it ; you can apply on G42.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include Nvidia GPU, AI safety and artificial intelligence.
- Level classifies it as a senior role.
- Level lists 58 other open roles at G42.
- The role was posted within the past two weeks.
AI in this role
Develop and deploy industrial AI and data-driven production optimization solutions for the energy sector using advanced analytics and ML models.
About the Company:
AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.
Overview:
AIQ is looking for a Senior Specialist - Production SME to lead the development and deployment of data-driven production optimization solutions by integrating advanced analytics, real-time field data, and physics-based models, while supporting well performance, artificial lift, and digital oilfield initiatives to drive efficiency, cost reduction, and operational excellence across oil and gas assets.
Responsibilities:
- Applies engineering knowledge to develop data-driven algorithms and scalable industrial software solutions.
- Identifies workflow bottlenecks and proposes tool and process improvements across disciplines.
- Contributes to R\&D for next-generation model building, production optimization, and surface/subsurface techniques.
- Integrates real-time field sensor data, dynamic reservoir data, and physics-based models with advanced analytics for resource evaluation and development optimization.
- Conducts studies related to stimulation, production, well design, testing, reservoir flow properties, and fluid behavior, ensuring alignment with overall project objectives.
- Demonstrates thorough expertise in inflow assurance, completion performance, sand control, well reliability, vertical lift performance, and artificial lift systems.
- Integrates operations systems with full field production delivery and debottlenecking efforts, optimizing well delivery through simulation.
- Provides detailed well programs for interventions and performs operational duties during execution.
- Coordinates and oversees workover activities such as testing, stimulation, coil tubing, and e-line operations in accordance with approved procedures.
- Recommends completion requirements and addresses well integrity, reliability, conformity, and artificial lift needs.
- Identifies opportunities for cost reduction, including “quick wins” and budgeted investment opportunities.
- Recommends ways to improve efficiency by streamlining workflows, automating processes, implementing digital oilfield solutions, and enhancing cross-functional collaboration.
- Identifies software solutions to centralize data, improve asset surveillance, automate alerts and tasks, and enable leaner operations.
- Demonstrates a track record of contributions to Digital Oil Field deployments such as IFM, IVM, and IPM in the Middle East.
- Participates in defining the Scope of Work for tenders and business development activities and translates business objectives into technical requirements.
- Participates in internal and external audits for the department.
Qualifications:
Minimum experience:
- 12 years in Petroleum production optimization/related activities of which 5 years as specialist role related to production optimization.
- Strong background in all Production Optimization aspects, with a focus on subsurface activities at well and field levels.
- Wide expertise in Petroleum Engineering including drilling, completion, stimulation, well testing, workover and ringless activities, artificial lift (especially Gas Lift and ESP), well performance analysis diagnostic, troubleshooting and optimization.
- Broad and deep engineering understanding of the whole production system (reservoir, wells, networks, plants).
- Knowledge of standard industry software tools e.g. PVT Sim, Multiflash, Prosper, Pipe Sim, OLGA), knowledge of industry standard enterprise solutions (data management, visualization).
Minimum educational requirements:
- Bachelor’s or Master’s in Petroleum Engineering.
How we rate this
Senior Specialist - Production Engineer at G42 rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where artificial intelligence was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where production optimization was part of your work. What did you do?
- Tell me about a project where physics based modeling was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, Artificial Intelligence, Data Analytics, Production Optimization, and Physics Based Modeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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