415 Artificial Intelligence jobs in Saudi Arabia

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.

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.

• 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.

• 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 posting start date: 07/07/2025

Job posting end date: 12/31/2025

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.

Overview

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.

Job Overview

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

• 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
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas
• Prioritizes AI business cases and oversee the quality of all deliverable packages required to secure funds
• Develops a roadmap to scale-up AI solutions across the Business Line
• Facilitate and monitor AI solutions development and execution phases with all stakeholders
• Develops Generative AI cases for Safety, Environment, Operations and Maintenance
• Applies 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 such as anomaly detection algorithms or predictive models
• Assesses, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards
• Acts as the Gas AI focal point of contact and coordinator with all other entities

• The candidate must hold Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. Advanced degree in an engineering discipline with focus on machine learning, artificial intelligence, applied statistics or operations research is desirable
• 10 years of experience in building data analytics-based products or machine learning models
• 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

• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and 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 such as PI is desirable

Job posting start date: 07/07/2025

Job posting end date: 12/31/2025

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. And 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.

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.

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

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 primary role of the Artificial Intelligence Specialist 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.

The successful candidate will be required to perform the following:

• Lead 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.
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale up AI solutions across the Business Line.
• Facilitate and monitor AI solutions development and execution phases with all stakeholders.
• Develop Generative AI 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 such as anomaly detection algorithms or predictive models.
• Assess, identify, and mitigate key risks associated with cybersecurity and ensure that 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.

• 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.
• 10 years of experience in building data analytics-based products or machine learning models.
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to 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 and 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 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. And 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.

Job ID: 15053

Tagged as: Gas Ventures Dept

Lead Technical Recruitment Consultant for Core IT Roles all over UK, Europe and UAE - Both Contracting and Permanent

Onsite in Riyadh, KSA

We’re seeking an experienced and innovative AI/ML Engineer to help design and deploy cutting-edge machine learning models across real-world applications.

• Design, develop, and deploy production-grade AI/ML models
• Work across use cases such as natural language processing (NLP) , recommendation systems , generative AI , classification models , and voice or image recognition
• Collaborate with frontend and backend engineering teams to embed AI features into mobile and web products
• Leverage past experience in shipping AI capabilities into real-world applications (e.g., LLMs , recommendation engines, voice assistants , or computer vision )

• 5+ years of hands-on experience in AI/ML engineering with clear evidence of deployed AI-powered features
• Strong grasp of algorithms , data structures , data architecture , and large-scale model handling
• Experience with ML frameworks such as TensorFlow , PyTorch , and scikit-learn
• Deep understanding of model training , fine-tuning , evaluation metrics, and optimization strategies
• Familiarity with building and maintaining data pipelines

• Mid-Senior level

• Full-time

• Information Technology, Engineering, and Consulting
• Industries

Job Title: AI Engineer

Location: Makkah

Company: KiloTech

Job Type:Full-time

Job Description

We are seeking a talented and motivated AI Engineer to join our dynamic team at KiloTech. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative solutions that leverage AI technologies to improve our products and services.

Responsibilities

• Design, develop, and implement machine learning models and algorithms.

• Collaborate with cross-functional teams to define AI-driven solutions and integrate them into existing systems.

• Analyze and preprocess large datasets to extract insights and inform model development.

• Monitor and evaluate the performance of AI models, making adjustments as needed.

• Stay current with the latest research and advancements in AI and machine learning technologies.

• Document processes and results for knowledge sharing and future reference.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• Proven experience in AI and machine learning, with proficiency in relevant programming languages (e.g., Python, R, Java).

• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.

• Excellent communication skills, both written and verbal.

Preferred Skills

• Experience with deep learning, natural language processing, or computer vision.

• Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI services.

• Understanding of data engineering and data pipeline development.

What We Offer

• Competitive salary and benefits package.

• Opportunities for professional development and growth.

• A collaborative and innovative work environment.

• The chance to work on cutting-edge AI projects that make a difference.

How to Apply

If you are passionate about AI and ready to take on exciting challenges, please send your resume and a cover letter detailing your experience and interest in the position to (your email address).

We look forward to hearing from you

About the Role:

We are seeking a highly skilled and motivated AI Engineer (Computer Vision focus) to join our innovative team. In this role, you will be responsible for designing, developing, and deploying AI-driven solutions with a strong focus on image-based machine learning and deep learning. Experience with text-based AI (NLP) will be considered a valuable plus.

You will work closely with cross-functional teams to apply cutting-edge AI techniques to real-world challenges, while ensuring scalability and performance of the solutions.

Key Responsibilities:

Design and implement AI models and algorithms with a primary focus on computer vision.

Contribute to text/NLP-related tasks when required.

Analyze large datasets to extract actionable insights.

Collaborate with data scientists, engineers, and product managers to integrate AI solutions into products.

Optimize models for performance, scalability, and reliability.

Research and stay up to date with the latest AI trends and technologies.

Document processes, models, and performance metrics.

Requirements:

Bachelor's in Computer Science, Artificial Intelligence, or a related field.

Proven experience in Machine learning for images (Computer Vision).

Experience with PyTorch (essential).

Experience with TensorFlow, Keras, Hugging Face (nice to have).

Strong programming in Python (essential).

Programming in JavaScript (nice to have).

Experience with NLP (text-based AI) (nice to have).

Experience in API development and integration.

Experience in deploying AI models into production environments.

Knowledge of cloud platforms such as AWS, Azure, or Google Cloud (nice to have).

Strong analytical and problem-solving skills.

Excellent communication and teamwork abilities.

WE are looking for Artificial Intelligence Specialist

with the following qualifications:

• Proven experience using n8n in-depth

• Strong understanding of HTTP/JSON/Webhooks

• Ability to read and parse data strings and connect them to external systems

• python programming language

Job Posting: AI Engineer

Job Objective

We are seeking a creative AI Engineer with strong technical and practical expertise to develop advanced intelligent solutions that enhance operational efficiency, improve customer satisfaction, and support data-driven decision-making through forecasting and advanced analytics.

Key Responsibilities

• Develop advanced artificial intelligence and machine learning models to accurately forecast project delays and estimate job durations.
• Design and implement sophisticated scheduling and route optimization solutions leveraging Google OR-Tools.
• Detect and resolve scheduling conflicts, including overlaps and idle periods, through automated methodologies.
• Improve customer engagement by deploying NLP-powered chatbots integrated with WhatsApp and other communication channels.
• Integrate AI-driven systems with Zoho FSM, CRM, and Books utilizing APIs.
• Conduct thorough analyses of operational and customer data to generate actionable insights.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• 3–5 years of professional experience in AI/ML development.
• Proficient in Python and experienced with relevant ML/NLP frameworks (TensorFlow, PyTorch, Scikit-learn, spaCy).
• Experience with Google OR-Tools or similar platforms for optimization and scheduling solutions.
• Skilled in database technologies such as PostgreSQL and SQL Server.
• Experienced in REST API integration; familiarity with Zoho platforms is advantageous.
• Practical experience in delivering chatbot and NLP projects is preferred.

Soft Skills

• Exceptional analytical and problem-solving abilities.
• Strong team player, effective in cross-functional collaboration.
• Excellent communication skills with both technical and non-technical stakeholders.
• High attention to detail, quick learner, and consistently delivers on time.

Think you're the right fit?

Join us and be part of an innovative team building cutting-edge AI solutions that make a real impact.

Job Summary:

The Artificial Intelligence (AI) Consultant is responsible for analyzing business needs and delivering AI-based solutions to enhance decision-making, operational efficiency, and innovation. The role involves designing and deploying machine learning models, working with large datasets, and providing both technical and strategic guidance, particularly in government or enterprise environments.

Key Responsibilities:

• Analyze business and technical requirements to identify opportunities for AI-driven solutions.
• Develop and deploy machine learning and deep learning models using tools such as Python, TensorFlow, and Scikit-learn.
• Provide technical and strategic consultation to clients on the adoption and integration of AI technologies.
• Collaborate with data engineers and software teams to ensure smooth integration of AI models into existing systems.
• Evaluate, monitor, and continuously improve the performance of AI models.
• Prepare reports and presentations for stakeholders, summarizing project progress, results, and recommendations.

Qualifications & Skills:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Minimum of 5 years of hands-on experience in AI, machine learning, or data science projects.
• Proficiency in programming languages such as Python or R, with strong knowledge of AI/ML libraries.
• Experience with big data tools and database systems.
• Excellent communication and presentation skills to work across multidisciplinary teams.
• Prior experience working on government or strategic sector projects is a plus.