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Manager - AI​/ML Solution Architect

Job in Abu Dhabi, UAE/Dubai
Listing for: Yokogawa
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

Join to apply for the Manager - AI/ML Solution Architect role at Yokogawa
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Yokogawa is a leading provider of industrial automation, test and measurement, information systems and industrial services across several industries. Our aim is to shape a better future by supporting the energy transition, (bio) technology, artificial intelligence, industrial cybersecurity, and more, contributing to the United Nations sustainable development goals.

About The Team

Our 18,000 employees work in over 60 countries with a corporate mission to "co-innovate tomorrow." We value respect, value creation, collaboration, integrity and gratitude in a truly global culture.

Job Purpose

The AI/ML Digital Solution Architect is responsible for architecting AI/ML solutions and supporting the analytical implementation for the production of Oil & Gas, Petrochemicals and other domains. The individual owns AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit/ Solution Division in developing differentiation in a high-growth environment in the YMA region.

Key Responsibilities & Accountabilities
  • Perform high level technical analysis leveraging AI/ML technology; gather and perform gap analysis and explore AI/ML solutions to resolve customers’ problems.
  • Advise on suitable AI/ML solutions and provide overall business portfolio management, design and demo functions.
  • Identify business cases, provide implementation support and drive proliferation of AI applications in the assigned industry/application.
  • Ensure client expectations are understood and met using AI/ML.
  • Ensure timely and high-quality deliverables in collaboration with the delivery team.
  • Apply AI best practice approaches and methods as appropriate.
  • Engage with customers in assigned technical areas to develop AI-enabled solutions that resolve process problems and grow the business.
  • Support SM/DX training efforts by providing input, documenting requirements, and supporting AI-related training programs.
  • Prepare reports for clients and define solution architectures with detailed design specifications.
  • Define functional requirements through client interviews, documentation analysis and workflow process mapping; knowledge of SIRI Assessment is an advantage.
  • Estimate technical effort for implementing complex AI solutions.
  • Manage technical deliverables throughout the lifecycle of solution development projects.
  • Participate as part of a technical project team and maintain effective relationships with stakeholders.
  • Proactively engage with customers to define the overall technical approach for AI implementation with simulation or Digital Twin.
  • Assist existing customers in problem resolution and identify future opportunities; provide Sure Service support under contract.
  • Interact with sales personnel to secure orders.
Qualification And Experience
  • Bachelor’s Eng./Computer Science or minimum 6 years’ experience in AI-based software development, engineering and sales.
  • Minimum 4 years’ experience designing or implementing AI/ML applications; knowledge of AI for control is an advantage.
  • Strong problem-solving skills with emphasis on solution development.
  • Willingness and ability to travel throughout the YMA / YIL / YEF regions.
Competencies
  • Good communication skills, team player with ability to energize others.
  • Knowledge of Oil and Gas, Petrochemicals or related domains is a plus.
  • Strong knowledge of IIoT integration concepts.
  • Awareness of latest market trends.
  • Tough and persistent negotiation skills.
Skills
  • AI-related software analysis, design, methodology and architecture.
  • Experience with Machine Learning technologies, data collection, historian applications (OSI PI a plus), visualization, quality/efficiency in manufacturing, SCADA, automated decision control, workflow, databases and scheduling.
  • Basic knowledge of R and Python; AI/machine learning is an added value.
  • Basic knowledge of big data analysis and cloud computing.
  • Ability to anticipate changes and support company-wide programs and initiatives.
  • Develop and identify industry/application-wide digital technologies for business use.
  • Foster an environment conducive to successful customer interactions and satisfaction.
  • Ear…
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