AI Solution Architect – Industrial AI | Confidential Employer | Riyadh, KSA

Confidential Employer; Riyadh; On-site; SAR 400,000 - 700,000; Full time

Job summary

Confidential Employer is seeking an experienced AI Solution Architect to lead end-to-end Industrial AI initiatives for refinery and Oil & Gas environments. You will design scalable AI architectures, drive MLOps, and guide cross-functional teams to production-ready solutions.

The role emphasizes optimizing operations, predictive maintenance, and digital transformation across industrial operations with a focus on Industry 4.0 and advanced analytics.

Qualifications

• 10+ years of professional experience in AI, Data Science, Solution Architecture, or Advanced Analytics.
• Experience with industrial datasets, time-series data, images, and video analytics.
• Strong knowledge of MLOps and cloud platforms (Azure and AWS).

Responsibilities

• 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.
• Lead implementation of MLOps pipelines and AI lifecycle management frameworks.
• Define cloud-native AI architectures leveraging Azure and AWS platforms.

Skills

Machine Learning

Deep Learning

Python

MLOps

Architecting AI Solutions

Data Analytics

Cloud Platforms

Time-series Analytics

NLP

Stakeholder Management

Education

Bachelor’s or Master’s in CS/AI/Data Science/Engineering

Tools

Azure

AWS

Job description

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.

Detailed Job Description

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.

Key Responsibilities

• 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.

Required Qualifications & Skills

• 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 teams and strategic initiatives.
• Excellent communication and architecture documentation skills.

Technical Expertise

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Retrieval Augmented Generation (RAG)
• Convolutional Neural Networks (CNN)
• Long Short-Term Memory Networks (LSTM)
• YOLO Object Detection Framework
• Clustering Algorithms
• Support Vector Machines (SVM)
• Artificial Neural Networks (ANN)
• Decision Trees
• Predictive Analytics and Optimization Models

Nice-to-Have Skills

• Oil & Gas industry experience.
• Refinery operations and process engineering exposure.
• Industry 4.0 and Smart Manufacturing experience.
• Experience with AI-driven operational excellence initiatives.
• Knowledge of Industrial IoT (IIoT) and AIoT platforms.
• Experience with Digital Twins and simulation technologies.
• Cloud AI certifications from Azure or AWS.
• Experience deploying AI solutions in mission-critical industrial environments.
• Knowledge of OT/IT convergence architectures.

Why Apply?

• Lead transformative Industrial AI initiatives within the Oil & Gas and Refinery sectors.
• Work with advanced AI, Machine Learning, Deep Learning, NLP, and Generative AI technologies.
• Architect innovative solutions that drive operational efficiency and business value.
• Collaborate with industry-leading engineers, data scientists, and technology professionals.
• Gain exposure to cutting-edge Industrial AI and Industry 4.0 programs.
• Influence enterprise AI strategy and digital transformation roadmaps.
• Contribute to building next-generation intelligent industrial operations.

Application Information

• Position: AI Solution Architect – Industrial AI
• Location: Riyadh, KSA
• Experience Required: 10+ Years
• Industry: Industrial AI, Oil & Gas, Refinery, Data & Analytics
• Immediate Joiners Preferred
• Interested candidates should submit an updated resume highlighting Industrial AI, Machine Learning, MLOps, Cloud, and Solution Architecture experience.
• Application Email: [e-mail]

Recruitment Pro Tip

To maximize your chances of selection, showcase enterprise AI architectures you have designed, machine learning solutions deployed to production, industrial analytics initiatives, MLOps implementations, cloud AI platforms utilized, and measurable business outcomes such as cost optimization, asset reliability improvements, predictive maintenance results, operational efficiency gains, or process optimization achievements.