Senior AI/ML Process Consultant/Engineer

Not just a job, but a career

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.

About the Team

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.

Job Purpose

The Senior AI Process Consultant is responsible for architecting AI/ML-based process solutions and leading AI-driven operational transformation across Oil & Gas, Petrochemical, and other process-industry domains. Bridging deep process-operations credibility with modern AI, architecture governance, and commercial value thinking, the role owns AI/ML business outcomes, solution architecture, and implementation strategy; translating operational problem statements into scalable, auditable solutions and guiding pilot-to-scale adoption. The role collaborates with and supports the Digital Enterprise Business Unit / Solution Division to build differentiated capabilities and accelerate growth across the YMA region.

Key Responsibilities & Accountabilities

1. Technical Analysis & Solution Architecture

• Perform high level technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to identify opportunities for resolving customers' process problems.
• Define solution architectures and develop detailed design specifications for complex AI solutions.
• Define functional requirements through client interviews, documentation analysis, and workflow / process mapping.
• Provide expert technical judgment to estimate the effort required to implement complex AI solutions.

2. Business Case & Portfolio Development

• Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry / application.
• Advise customers on suitable AI/ML solutions and provide overall business portfolio management, solution design, and demonstration functions.
• Own and drive the preparation of Feasibility Study/ Business Case reports to support the customer for FID/Budgeting approvals.

3. Client Engagement & Relationship Management

• Engage proactively with customers to understand expectations and ensure they are consistently met through AI/ML solutions.
• Define the overall technical approach for AI implementation, integrating simulation / Digital Twin and, where applicable, APC/RTO technologies.
• Develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
• Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.

4. Project Delivery & Quality Assurance

• Own technical deliverables across the entire lifecycle of solution-development projects.
• Ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
• Ensure AI best-practice approaches, standards, and methods are applied appropriately throughout delivery.
• Participate actively as a member of technical project teams, building and maintaining effective working relationships.

5. Knowledge Sharing, Training & Enablement