Industrial AI Architect for Oil & Gas Transformation

Tech Junction Ltd

Riyadh

On-site

SAR 600,000 - 900,000

Full time

14 days+

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Job summary

Tech Junction Ltd in Riyadh invites an experienced AI Solution Architect to lead Industrial AI transformation initiatives in Oil & Gas and Refinery sectors. You will design and govern enterprise-grade AI solutions leveraging Generative AI, LLMs, RAG, cloud platforms, and advanced analytics to optimize operations.

The role requires 10+ years in AI/solution architecture, hands-on with Azure/AWS, MLOps, and AI governance.

Qualifications

Bachelor’s or Master’s degree in CS, AI, DS, engineering, or related field.
10+ years of experience in Solution Architecture or enterprise technology leadership.
Strong experience designing and implementing enterprise AI/ML solutions.
Hands-on experience with Generative AI technologies.
Strong knowledge of LLMs and RAG.
Experience deploying AI solutions on Azure and AWS.
Strong understanding of MLOps methodologies and AI operating frameworks.
Experience with AI governance, model lifecycle management, and enterprise AI operations.
Strong knowledge of Industrial Analytics and data-driven operational optimization.
Excellent stakeholder management, communication, and solution leadership skills.

Responsibilities

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.