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Artificial Intelligence Specialist

Company profile

Saudi Arabia

On-site

SAR 149,000 - 225,000

Full time

Today
Be an early applicant

Job summary

A leading global energy company in Saudi Arabia seeks an Artificial Intelligence Specialist to support AI-driven initiatives in Gas operations. The role includes leading projects, developing roadmaps for AI implementation, and collaborating with stakeholders. Ideal candidates should have extensive experience in data analytics and machine learning, along with a relevant academic background. Competitive compensation and opportunities for professional growth are offered.

Benefits

Comprehensive workforce development programs
Investment in capital and technology
Challenging and rewarding opportunities

Qualifications

  • 10 years of experience in building data analytics-based products or machine learning models.
  • Strong knowledge in regression, classification, clustering, big data, SQL, and neural networks.
  • Past experience in leading AI solution deployment projects for Oil and Gas is preferable.

Responsibilities

  • Lead a multidisciplinary team to oversee AI business cases.
  • Collaborate with entities for AI implementation in Gas.
  • Prioritize AI business cases and oversee delivery packages.

Skills

Proficiency in Python
Data analytics
Statistical analysis
Machine learning models
Project management
Analytical skills

Education

Bachelor’s degree in Engineering or related field
Advanced degree in engineering with focus on AI

Tools

Power BI
Tableau
SQL
Job description

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are seeking an Artificial Intelligence Specialist (AIS) to join Gas Operations Technical Support Division. The Gas Operations Technical Support Division is responsible for providing AI-powered solutions to all Gas Plants. The objective is to leverage AI advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency and value creation. The AI Specialist role is to work closely with the Gas Business Line and other corporate entities to manage AI business cases from identification of challenges/opportunities through solution scouting, scoping, funding, PoC, deployment, evaluation and value tracking.

Responsibilities
  • Lead a multidisciplinary team to oversee and monitor AI business cases from challenges/opportunities identification, solution scouting, scoping, funding, PoC, deployment, evaluation and value tracking.
  • Collaborate with internal and external entities and with third parties to drive AI implementation in Gas.
  • Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
  • Develop a roadmap to scale AI solutions across the Business Line.
  • Facilitate and monitor AI solution development and execution phases with all stakeholders.
  • Develop Generative AI use cases for Safety, Environment, Operations and Maintenance.
  • Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
  • Build and train machine learning models to solve specific problems and optimize models for performance and accuracy (e.g., anomaly detection, predictive models).
  • Assess, identify, and mitigate key risks related to cybersecurity and ensure data practices adhere to the company’s regulations and data privacy standards.
  • Act as the Gas AI focal point of contact and coordinator with all other entities.
Minimum Requirements
  • The candidate must hold a Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, AI, or a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, AI, applied statistics, or operations research is desirable.
  • 10 years of experience in building data analytics-based products or machine learning models.
  • Proficiency in programming (e.g., Python) and experience with statistics and data cleaning libraries, plus data visualization tools such as Power BI or Tableau.
  • Strong knowledge in regression and classification, association rules, clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical, predictive, and optimization algorithms is required.
  • Analytical and problem-solving skills to derive insights and opportunities from data.
  • Basic project management skills to plan, execute, and deliver data science projects.
  • Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
  • Knowledge of plant automation systems, standard real-time interfaces such as OPC and process historians (e.g., PI) is desirable.
Job Post Duration

Job posting start date: 07/07/2025

Job posting end date: 12/31/2025

Working environment

Our high-performing employees are drawn by challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. As a global energy company, we address some of the world’s biggest technical, logistical and environmental challenges and invest heavily in talent development. We have a proud history of educating and training our workforce and encourage ongoing growth through comprehensive workforce development programs.

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