Artificial Intelligence Specialist

Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity 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 generations’ 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.

Job Overview

We are seeking an Artificial Intelligence Specialist (AIS) to join Gas Operations Technical Support Div.

The Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency, and value creation.

The Artificial Intelligence Specialist's primary role is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.

Duties and Responsibilities

The successful candidate will be required to perform the following:

1. Leads a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation, and value tracking.
2. Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
3. Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
4. Develop a roadmap to scale-up AI solutions across the Business Line.
5. Facilitate and monitor AI solutions development and execution phases with all stakeholders.
6. Develop Generative AI cases for Safety, Environment, Operations, and Maintenance.
7. Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
8. Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models.
9. Assess, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards.
10. Act as the Gas AI focal point of contact and coordinator with all other entities.

Minimum Requirements

1. The candidate must hold a Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, artificial intelligence, applied statistics, or operations research is desirable.
2. 10 years of experience in building data analytics-based products or machine learning models.
3. Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization such as Power BI or Tableau.
4. 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.
5. Analytical and problem-solving skills to derive insights and opportunities from data.
6. Basic project management skills to plan, execute, and deliver data science projects.
7. Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
8. Knowledge of plant automation systems, standard real-time interfaces such as OPC, and process historians such as PI is desirable.

Working Environment

Our high-performing employees are drawn by the 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. Because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical, and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.