Oil jobs in Saudi Arabia

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.

We are seeking a highly skilled and motivated AI Solutions Engineer to join our team driving digital transformation in the Oil & Gas and Petrochemicals industries. In this role, you will be responsible for designing, developing, and deploying AI and machine learning solutions that optimize operations across upstream, midstream, and downstream segments. This position serves as a bridge between data science and industrial process engineering, delivering impactful solutions to real-world challenges.

The AI/ML Digital Solution Architect will be responsible for architecting AI/ML solutions and supporting analytical implementations for production operations in Oil & Gas, Petrochemicals, and other related domains. This individual will also own the business outcomes and implementation strategy of AI/ML initiatives, while supporting the Digital Enterprise Business Unit and Solution Division in establishing a competitive differentiation in the high-growth Middle East region.

• Conduct high-level technical analysis of customer challenges in the Oil & Gas and Petrochemical industries, leveraging APC/RTO or AI/ML technologies. This includes gathering requirements, performing gap analyses, and exploring APC/RTO, AI/ML applications to address customer needs.
• Identify business cases, support implementation, and ensure successful scaling of targeted AI applications within the assigned industry or domain.
• Engage with customers in designated technical areas to co-develop solutions that address process challenges and support business growth through AI and, where applicable, APC/RTO technologies.
• Collaborate with domain experts to identify opportunities for AI-driven process optimization, predictive maintenance, and operational efficiency improvements.
• Develop and validate machine learning models using time-series, sensor, and operational data (e.g., SCADA, DCS, PI System).
• Define solution architectures and develop detailed design specifications.
• Proactively engage with customers to define the overall technical approach for AI implementations.
• Demonstrate the ability to effectively collaborate with sales teams and contribute to securing customer orders.

• Bachelor’s degree in Process or Chemical Engineering and a minimum of 15 years of industry experience in solution development, engineering disciplines, and technical sales.
• At least 5 years of hands‑on experience in designing or implementing APC or AI/ML applications within the Oil & Gas or Petrochemical industries. Experience with APC or AI for control systems is a plus.
• Strong analytical and problem‑solving skills, with a focus on developing practical and scalable solutions.
• In-depth knowledge of the Oil & Gas, Petrochemicals, or specialized chemical domains is essential.
• Willingness and ability to travel internationally across regions as required.
• Excellent communication skills in English, both written and verbal.
• Demonstrated resilience and persistence in driving projects to completion involving multiple stakeholders.
• Awareness of current trends and developments in the AI market.

• Strong hands‑on experience with APC/RTO or AI and Machine Learning technologies, including automated data collection, historian systems (OSI PI is a plus), data visualization, manufacturing quality and efficiency, SCADA systems, automated decision‑making, workflow automation, database applications, and scheduling tools.
• Proficient in Python programming languages, with fluency in implementing solutions, is a plus.
• Understanding of basic machine learning concepts (Supervised, Unsupervised learning, Reinforcement Learning, Large Language Model) is a plus.
• Ability to anticipate organizational needs for change and actively support company‑wide programs, strategies, and initiatives.
• Capable of identifying and developing industry- or application‑specific digital technologies suitable for business use.
• Skilled in creating environments that foster successful customer interactions and high satisfaction.
• Proactive in early engagement with customers to explore and establish long‑term partnership opportunities.
• Strong persuasive and influencing skills, with the ability to guide customers toward solution adoption and drive project closure.
• Proven ability to build trust and credibility with stakeholders, facilitating alignment and decision‑making across complex engagements.
• Experience with physical process simulators such as OmegaLand or Petro‑SIM is preferred.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

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