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Cooling Solution Architect

Schneider Electric
Riyadh, KSA
Full-time
Director
Onsite
Discovered 5 days ago
Data center cooling systemsCRAH systemsCRAC systemsFan Wall UnitsChillers and chilled water systemsCooling distribution units (CDU)

Full Job Posting

Role overview

Design, develop, and govern cooling and thermal infrastructure solutions for data center and AI environments.

Ensure solutions are technically sound, energy efficient, scalable, compliant with standards, and aligned with customer needs.

Responsibilities

  • Design and specify cooling systems including CRAH, CRAC, Fan Wall Units, chillers, chilled water systems, CDU, and liquid cooling.
  • Perform thermal load analysis, cooling capacity planning, and heat rejection assessments for traditional and high-density AI workloads.
  • Develop cooling architectures and recommend technologies based on technical, operational, and business requirements.
  • Review customer specifications and ensure compliance with standards, project requirements, and company practices.
  • Support proposal specification compliance and respond to post-tender clarifications.
  • Lead customer engagements, workshops, design reviews, and solution presentations; advise customers, consultants, EPCs, and internal stakeholders.
  • Collaborate across Power, IT, and Digital Energy teams on integrated data center and AI infrastructure solutions.
  • Support bids, proposals, RFIs, compliance matrices, and solution documentation.
  • Coordinate with product management, factories, and engineering teams to align customer needs with portfolio capabilities.
  • Promote emerging cooling technologies and share knowledge across the architecture and engineering community.

Qualifications and skills

  • Bachelor’s degree in mechanical engineering or a related discipline.
  • More than 10 years of relevant experience.
  • Strong knowledge of data center cooling technologies, thermal management, chilled water plants, heat rejection systems, and liquid cooling architectures.
  • Understanding of data center design standards and industry best practices.
  • Ability to perform thermal analysis, system sizing, and design validation.
  • Strong customer-facing consulting and presentation skills; cross-functional collaboration and stakeholder management capabilities.
  • Professional communication, teamwork, analytical thinking, problem-solving, and technical leadership skills.
  • Knowledge of AI infrastructure cooling requirements and high-density computing environments is an advantage.

Key deliverables

Cooling architecture designs and specifications; thermal load and cooling capacity assessments.

Compliance reviews, technical approvals, customer workshops, and technical solution presentations.

Integrated cooling solutions and cooling governance, standards, and reference architectures for data center and AI infrastructure projects.

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