Sections

Language

Social Media

فرصة

Head of AI Center of Excellence Job in Saudi Arabia 2026

By: Yokogawa Electric CorporationLast update:
ApplySave
Deadline
(Available)

Applicant criteria

NationalityNo specific nationality required
SpecialityComputer and Information Sciences
SkillsMachine Learning skills, Strong team leadership skills, AI Project Management
Age
  • No specific age required
Years of Experience
  • 5+
Gender
  • Both

Opportunity criteria

Job Type
  • Full time
Job FieldsInformation Technology Jobs
Job locationSaudi Arabia (Other)
Needed documentsCV, Application form
Deadline2026-04-27

Opportunity description

Yokogawa is seeking a dynamic and visionary Head of AI Center of Excellence (CoE) to build and lead a high-performing AI team in Al Khobar, Saudi Arabia. The successful candidate will focus on developing Gen AI, AI/ML, and OT/IT integration solutions for industrial customers, driving innovation in industrial automation and information systems.

Duties & responsibilities

  • Provide strategic direction and technical leadership for AI initiatives.

  • Lead and manage the AI CoE team, including AI engineers, data scientists, and Gen AI developers.

  • Oversee the design, development, and deployment of end-to-end AI/ML and Gen AI solutions.

  • Drive the adoption of Gen AI technologies (LLMs, NLP, code generation) to improve operational efficiency and create new business models.

  • Manage multiple AI projects simultaneously, ensuring they are delivered on time, within budget, and to quality standards.

  • Foster innovation and continuous learning within the team, staying updated with AI/ML trends and best practices.

Eligibility criteria

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • 10+ years of experience in AI/ML, with at least 5 years in a leadership or management role.

  • Proven track record of successfully delivering complex AI/ML projects from concept to production.

  • Deep understanding of Gen AI technologies (LLMs, prompt engineering, RAG) and their practical applications.

  • Strong technical background in ML algorithms, deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (AWS, Azure, GCP).

  • Excellent communication and presentation skills to translate complex technical concepts to non-technical stakeholders.

  • Experience in the industrial automation, energy, or manufacturing sectors is a plus.

ApplySave
Deadline
(Available)

Join For9a now to apply for thousands of free opportunities and receive the latest ones as soon as they are available.