AI, Data Science & Enterprise Architecture Professionals – Dhahran, Saudi Arabia

Location

Dhahran, Saudi Arabia

Job Category

• Information Technology (IT) & Software
• Engineering & Technical
• Science & Research
• Energy, Oil & Gas
• Telecommunications
• Government & Public Sector

Job Overview

A leading energy company in Saudi Arabia is seeking highly experienced professionals to support a major enterprise digital transformation and artificial intelligence program in Dhahran. The program covers AI technologies, enterprise architecture, cloud computing, data science, cybersecurity, digital platforms, and large-scale enterprise technology initiatives.

Multiple opportunities are available across the Future AI Technologies, Enterprise Architecture & Design, and Digital Platforms & Enablement divisions. Positions range from AI Engineer and Enterprise Architect roles to Associate Data Scientist opportunities, with eligibility varying by position for Saudi nationals and expatriates.

These opportunities are suited to experienced technology professionals seeking career growth in artificial intelligence, data science, cloud infrastructure, enterprise architecture, cybersecurity, and digital transformation. Professionals will have the opportunity to work with advanced technologies including generative AI, large language models, GPU computing, cloud platforms, distributed computing, enterprise architecture, and large-scale digital platforms.

Key Responsibilities

AI Engineer

• Design, develop, and support advanced AI models and machine learning pipelines.
• Develop scalable ML infrastructure and AI platforms.
• Work with Large Language Models (LLMs), Large Vision Models, and Time Series Models.
• Implement real-time data ingestion and processing solutions.
• Develop microservices and event-driven architectures for AI applications.
• Perform feature engineering and support scalable AI deployments.
• Contribute to the development of enterprise-grade AI technologies and platforms.

Enterprise Computing & Cloud Architect

• Define enterprise computing and cloud architecture strategies.
• Develop technology roadmaps and architecture standards.
• Support large-scale cloud and digital transformation initiatives.
• Establish architecture governance and technical standards.
• Evaluate and guide enterprise technology solutions.

Enterprise Communications Architect

• Develop enterprise communications architecture and technology strategies.
• Define architecture standards and governance frameworks.
• Support large-scale enterprise communications and digital transformation initiatives.
• Develop technology roadmaps aligned with organizational requirements.

Enterprise Data & AI Architect

• Define enterprise data and AI architecture strategies.
• Develop data architecture standards, governance, and technology roadmaps.
• Support AI and data transformation initiatives.
• Design scalable enterprise data and AI solutions.

Enterprise Cybersecurity Architect

• Develop enterprise cybersecurity architecture and technology strategies.
• Define cybersecurity architecture standards and governance.
• Support secure digital transformation and enterprise technology initiatives.
• Develop cybersecurity technology roadmaps and architecture frameworks.

Enterprise Business Architect

• Develop enterprise business architecture strategies and frameworks.
• Align business capabilities with enterprise technology and digital transformation initiatives.
• Define architecture standards, governance, and technology roadmaps.
• Support large-scale enterprise transformation programs.

Associate Data Scientist

• Develop data science and machine learning solutions using Python and SQL.
• Apply artificial intelligence and machine learning techniques to business problems.
• Work with Large Language Models and Generative AI technologies.
• Develop and deploy AI applications using Hugging Face and related frameworks.
• Work with Kubernetes, Docker, OpenShift, and GCP.
• Support NVIDIA NIMs, SuperPods, and GPU computing environments.
• Contribute to DevOps and CI/CD workflows using ArgoCD, Git, and Jenkins.
• Support distributed computing and machine learning model deployment.
• Contribute to AI application architecture and scalable data science platforms.

Requirements & Qualifications

AI Engineer – Future AI Technologies Division

• Bachelor’s degree in Data Science, Computer Science, or an equivalent discipline.
• Master’s degree is preferred.
• Minimum 10+ years of relevant professional experience.
• Strong expertise in AI models and machine learning pipelines.
• Experience with ML infrastructure and scalable AI platforms.
• Experience with LLMs, Large Vision Models, and Time Series Models.
• Experience with real-time data ingestion.
• Knowledge of microservices and event-driven architecture.
• Experience with feature engineering and scalable AI systems.
• Eligibility: Expatriate candidates.

Enterprise Architecture & Design Division

Available positions:

• Enterprise Computing & Cloud Architect
• Enterprise Communications Architect
• Enterprise Data & AI Architect
• Enterprise Cybersecurity Architect
• Enterprise Business Architect

Requirements:

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Business, or a related field.
• 10–15+ years of enterprise architecture experience.
• Strong expertise relevant to the respective specialization.
• Experience in Cloud, HPC, AI/ML, Data Architecture, Cybersecurity, Communications, or Business Architecture.
• Experience defining enterprise architecture standards and governance.
• Experience developing technology roadmaps.
• Experience supporting large-scale digital transformation initiatives.
• Eligibility: Saudi nationals and expatriates, depending on the position.

Associate Data Scientist – Digital Platforms & Enablement Division

• 5+ years of relevant experience.
• Strong Python and SQL skills.
• Experience with Machine Learning and Artificial Intelligence.
• Knowledge of Large Language Models and Generative AI.
• Experience with Hugging Face.
• Knowledge of Kubernetes, Docker, OpenShift, and GCP.
• Experience with NVIDIA NIMs and SuperPods.
• Knowledge of GPU computing.
• Experience with DevOps and CI/CD.
• Knowledge of ArgoCD, Git, and Jenkins.
• Experience with AI application architecture.
• Knowledge of distributed computing and model deployment.
• Eligibility: Saudi nationals.

Preferred Industry Experience

Experience in one or more of the following areas is preferred:

• Oil and Gas
• Energy
• AI and Digital Transformation
• Cloud Infrastructure
• Enterprise IT
• Data Engineering and Analytics

Salary, Benefits & Career Growth

The employer has not specified a salary or benefits package in the provided job description. Therefore, no salary estimate has been added.

These positions offer opportunities for professional development across artificial intelligence, enterprise architecture, cloud computing, data science, cybersecurity, digital platforms, and large-scale digital transformation.

Depending on the position, professionals can develop advanced expertise in AI engineering, enterprise architecture, cloud strategy, data and AI architecture, cybersecurity architecture, business architecture, or data science.

The program also provides exposure to advanced technologies and enterprise environments, supporting long-term career growth and specialization in emerging technology fields.

Application Process

Application Process (Website)

Apply through the official job link and click Apply Now on the website.

HR Email for Application

Send your updated CV directly

Only shortlisted candidates will be contacted for the online interview process.