AI Control Optimization Consultant

AI Control Optimization Consultant – Yokogawa

We invite you to apply for the AI Control Optimization Consultant role at Yokogawa.

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 across various 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.

The AI Control Optimization Consultant develops, promotes, and supports AI/ML-enabled closed‑loop optimization solutions (Control AI – FKDPP) in collaboration with Sales and Solutions teams. This role focuses on presales activities, proposal development, PoC/pilot support, benefit estimation, and coordination with internal/external stakeholders. The consultant translates customer operational challenges into tangible AI optimization use cases and supports early‑stage project scoping. The consultant is a key contributor in developing and promoting Yokogawa’s AI solution portfolio, including other AI products and solutions released or under development.

Hands‑on experience and passion for leveraging AI technologies to impact customers’ operations are essential.

• Develop and communicate Control AI FKDPP presales strategy with Sales Teams.
• Support sales calls, customer presentations, demonstrations, and PoC design sessions.
• Create customized proposal & SOW documentation leveraging presales materials.
• Define customer business requirements and translate them into AI optimization use cases.
• Coordinate PoC and pilot deployment activities including data collection and preparation.
• Support benefit estimation and ROI justification based on customer data and AI model outputs.
• Collect and document customer feedback and improvement requirements for continuous product enhancement.
• Participate in internal knowledge capture and contribute to best practices and playbooks.
• Submit monthly activity reports (customer interactions, pipeline, feedback, forecast).
• Other duties as assigned.

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related technical field.
• 5+ years of combined experience in industrial process engineering, control systems, data analytics, or machine learning.
• Hands‑on experience with AI/ML workflows (Python, Jupyter, model deployment, validation) in an industrial context.
• Understanding of closed‑loop optimization, control loops (PID/DCS/SCADA), or APC is an advantage.
• Ability to manage multiple presales and PoC activities simultaneously.
• Strong communication and presentation skills; ability to simplify technical concepts.
• Proficiency with MS PowerPoint, Excel, and proposal documentation.
• Requires 30–50% travel (short trips).

Sugar Land Office and Customer Office/Plant visits.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture and will actively recruit, develop, and promote people from a variety of backgrounds. 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.