AI Solution Architect – Industrial AI | Confidential

Position Summary

An exciting opportunity is available for an experienced AI Solution Architect to lead Industrial AI transformation initiatives within the Oil & Gas and Refinery sectors. The successful candidate will be responsible for designing, architecting, and governing enterprise-grade Artificial Intelligence solutions that leverage Generative AI, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), cloud platforms, and advanced analytics to optimize industrial operations and support digital transformation programs.

As an AI Solution Architect, you will provide technical leadership for the design, implementation, and operationalization of scalable AI and Machine Learning solutions. You will work closely with business leaders, data engineers, AI engineers, refinery process experts, OT/IT teams, and enterprise stakeholders to transform industrial data into intelligent business capabilities.

The role requires deep expertise in enterprise AI architecture, cloud-native AI platforms, MLOps, AI governance, industrial analytics, and Generative AI technologies. You will be responsible for defining architecture standards, establishing AI operating models, leading AI solution delivery, and ensuring alignment with business and operational objectives.

This position offers the opportunity to work on large-scale industrial transformation programs that combine AI, data engineering, cloud computing, and advanced analytics to enhance operational efficiency, asset performance, predictive intelligence, and business decision-making.

Location:

Riyadh, Saudi Arabia
Industry: Industrial AI, Refinery, Oil & Gas
Experience

Required:

10+ Years
Joining Requirement:
Immediate

• Design and architect enterprise-scale AI and Machine Learning solutions for industrial and refinery environments.
• Define AI platform architecture, governance models, and deployment standards.
• Lead solution design for Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementations.
• Design cloud-native AI solutions leveraging Microsoft Azure and Amazon Web Services (AWS).
• Establish MLOps frameworks to support model development, deployment, monitoring, and lifecycle management.
• Develop AI architecture roadmaps aligned with digital transformation and business objectives.
• Integrate industrial analytics solutions with enterprise platforms and operational systems.
• Collaborate with data engineering teams to build scalable AI-ready data platforms.
• Design intelligent solutions supporting predictive maintenance, operational optimization, yield improvement, anomaly detection, and industrial process intelligence.
• Establish AI governance, security, compliance, and responsible AI practices.
• Lead architectural reviews, technology evaluations, and solution design workshops.
• Provide technical leadership to AI engineers, data scientists, and development teams.
• Support stakeholder engagement, business case development, and AI adoption initiatives.
• Maintain architecture documentation, standards, frameworks, and best practices.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
• Minimum 10 years of experience in Solution Architecture, Artificial Intelligence, Data Science, or Enterprise Technology leadership.
• Strong experience designing and implementing enterprise AI/ML solutions.
• Expertise in AI/ML Solution Architecture and enterprise AI strategy.
• Hands-on experience with Generative AI technologies.
• Strong knowledge of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Experience deploying AI solutions on Microsoft Azure and AWS…