Senior Product Applications Engineer II

Schneider Electric; Riyadh; On-site; SAR 450,000 - 700,000; Full time

Job summary

Schneider Electric in the Riyadh region seeks a regional technical authority for AI-ready data center infrastructure and liquid cooling. You will define reference architectures, govern deployment, and engage with hyperscalers, consultants, and EPCs to position technologies regionally.

Lead design for AI pods and GPU clusters, oversee tendering, value engineering, and customer workshops, ensuring high-density, energy-efficient solutions across hyperscale and enterprise deployments.

Qualifications

• 12–15+ years in mission-critical data center infrastructure.
• Minimum 7 years dedicated to high-density cooling technologies.
• Demonstrated experience on AI/HPC infrastructure projects and liquid cooling.
• Extensive experience leading technical tendering and value engineering.
• Strong customer-facing experience with hyperscalers, enterprise accounts, EPCs and consulting firms.
• Recognized technical authority for AI cooling technologies; mentor regional presales/engineering teams.

Responsibilities

• Deliver regional AI/liquid cooling technical strategy and reference architectures.
• Lead end-to-end tendering and value engineering for strategic opportunities.
• Build relationships with hyperscalers, enterprise customers, EPCs, and design institutes.
• Provide technical enablement for sales/BD/presales and participate in executive workshops.

Job description

Regional technical authority for next-generation AI and HPC infrastructure, owning technical strategy, solution architecture, customer engagement, and ecosystem development for advanced liquid cooling technologies across hyperscale, enterprise AI, and HPC deployments. Recognized as a trusted technical advisor to consultants, hyperscalers, Specialized Datacentre EPCs, engineering firms, and strategic customers covering full project technical lifecycle – from specification and technology selection to tendering, value engineering, Ecosystem upskilling and award.

2.1 Technical Leadership

• Act as regional technical authority for AI-ready DC infrastructure and liquid cooling; lead technical development of AI/HPC projects requiring high-density environments.
• Define/ Deploy reference architectures and best practices; establish technical governance for liquid cooling deployment; support executive leadership on technology strategy and competitive positioning.

2.2 AI & Liquid Cooling Expertise

• Direct-to-Chip (D2C), Rear Door Heat Exchangers (RDHx), Immersion Cooling, TCS and Secondary Network Heat (SFN) loops, CDU architecture & facility heat exchanger FWS design.
• Glycol/water loop engineering, hydraulic balancing, pumping systems, thermal management, heat rejection, water/ Mix Liquid quality management, facility hydraulic integration.
• Optimize air/liquid capture ratio, air-to-hybrid transition strategies, AI rack thermal management, high-density racks (>80–150+ kW/rack), thermal resilience, redundancy and energy efficiency.

2.3 AI Infrastructure Design

• Lead design for AI Pods, GPU clusters, NVIDIA HGX/MGX, NVL platforms, large GPU clusters, HPC and AI Factory architectures, high-density white space.
• Rack architecture, containment, high-performance airflow, power distribution integration, 800VDC-ready infrastructure, busbar systems, AI-ready POD compute topology, mechanical-electrical integration.

2.4 Presales & Specification Leadership

• Support Sales, coach BD teams, enable Presales, influence consultants, engineering firms, EPC / DCS contractors, hyperscalers and AI ecosystem partners.
• Lead specification development, design reviews, technology positioning, competitive differentiation, customer workshops, executive presentations and design validation.

2.5 Tendering & Value Engineering

• Own the full technical tendering process: qualification, architecture validation, risk assessment, design optimization, compliance review, value/cost engineering, technical negotiations, bid defense, customer clarifications and final technical approvals through to award.

2.6 Customer & Ecosystem Engagement

• Build trusted relationships with hyperscalers, enterprise customers, AI infrastructure providers, consultants, design institutes, EPC/mechanical contractors and channel partners.
• Represent the organization at executive workshops, industry conferences, technical seminars, customer advisory sessions and AI technology forums.

3. Required Competencies & Technical Expertise

AI Infrastructure:

GPU infrastructure, HPC architecture, AI Factory design, large-scale AI clusters, rack density optimization, thermal management, AI-ready electrical infrastructure.

Critical DC Infrastructure

Tier III/IV architectures, white space & containment, precision cooling, chilled water, CRAH/CRAC, in-row cooling, RDHx, high-availability mechanical systems, mission-critical redundancy. DC infrastructure Digital Twin, Desing simulation, DCS Software stack

Liquid Cooling

Direct Liquid Cooling & Immersion Cooling, TCS/SFN, CDU technologies, heat exchangers, hydraulic systems, pumping stations, thermal modeling/CFD, heat recovery concepts.

Electrical Distribution

800VDC technologies, High density Power train architecture, integrated Compute critical infrastructure AI POD Skid .

Industry knowledge:

Vertiv, ABB, Schneider Electric, Carrier, Johnson Controls, STULZ, Munters, LiquidStack, CoolIT Systems, Motivair, Boyd, Submer, GRC, nVent, Delta Electronics, Huawei Digital Power, Equinix reference architectures, NVIDIA AI Infrastructure ecosystem.

• 12–15+ years in mission-critical data center infrastructure; minimum 7 years dedicated to high-density cooling technologies.
• Demonstrated experience on AI/HPC infrastructure projects and proven expertise in liquid cooling architecture and deployment.
• Extensive experience leading technical tendering and value engineering; strong customer-facing experience with hyperscalers, enterprise accounts, EPCs and consulting firms.
• Demonstrated success influencing technical specifications and securing major infrastructure projects.
• Recognized technical authority for AI cooling technologies; mentor regional presales/engineering organizations; build technical competency and drive innovation and technology adoption across the region.
• Deliver: regional AI/liquid cooling technical strategy, standardized AI reference architectures, technical enablement of sales/BD/presales, consultant and specification engagement plans, and technical ownership of strategic AI opportunities.
• Deliver: end-to-end tendering and value engineering leadership, regional design guidelines and enginee

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* Country-specific programs and initiatives may be available.

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+9% organic growth
150 000+ employees in 100+ countries

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