AI Solution Architect – Industrial AI KSA

Position Summary

An exciting opportunity is available for an experienced AI Solution Architect specializing in Industrial AI to lead the design, development, and deployment of enterprise-scale Artificial Intelligence solutions for industrial, refinery, and Oil & Gas environments. The successful candidate will drive AI strategy, architecture, and implementation initiatives that enable operational optimization, predictive analytics, process intelligence, and digital transformation across industrial operations.

As an AI Solution Architect, you will be responsible for designing end-to-end AI and Machine Learning solutions that transform industrial data into actionable business intelligence. You will work closely with business leaders, data engineers, AI/ML teams, OT/IT specialists, process engineers, and stakeholders to develop scalable and production-ready AI architectures.

The role requires deep expertise in Machine Learning, Deep Learning, MLOps, cloud platforms, and Industrial AI applications. You will lead solution architecture decisions, define technical roadmaps, evaluate emerging AI technologies, and ensure successful deployment of AI solutions supporting refinery operations, asset performance, predictive maintenance, process optimization, and operational excellence programs.

This position offers an opportunity to work on innovative Industry 4.0 initiatives, advanced analytics programs, and next-generation AI-driven industrial transformation projects.

• Design and architect enterprise-scale Industrial AI and Machine Learning solutions.
• Define AI solution roadmaps aligned with business objectives and operational requirements.
• Lead the development of predictive analytics, optimization, and intelligent decision-support systems.
• Design AI architectures supporting industrial data, time-series data, image analytics, and video analytics.
• Develop solutions for process deviation detection, operational optimization, and equipment performance monitoring.
• Architect predictive maintenance and predictive insight platforms.
• Design AI systems supporting yield estimation and process optimization initiatives.
• Lead implementation of MLOps pipelines and AI lifecycle management frameworks.
• Define cloud-native AI architectures leveraging Azure and AWS platforms.
• Guide development teams on machine learning, deep learning, and data science best practices.
• Collaborate with Data Engineers and AI Engineers to build scalable AI platforms.
• Evaluate and integrate emerging AI technologies and frameworks.
• Ensure AI solutions comply with security, governance, reliability, and scalability requirements.
• Support stakeholder engagements, technical workshops, and solution reviews.
• Document architectures, technical standards, and implementation guidelines.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• Minimum 10 years of professional experience in AI, Data Science, Solution Architecture, or Advanced Analytics.
• Strong expertise in Machine Learning, Deep Learning, and Python development.
• Experience working with industrial datasets, time-series data, images, and video analytics.
• Strong understanding of Industrial AI solution design and deployment.
• Experience with optimization techniques including Genetic Algorithms and Linear/Quadratic Programming.
• Strong knowledge of MLOps frameworks and machine learning operationalization.
• Hands-on experience with cloud platforms including Microsoft Azure and Amazon Web Services (AWS).
• Experience designing and deploying scalable AI architectures.
• Strong analytical, problem-solving, and stakeholder management skills.
• Ability to lead multidisciplinary technical…