Solutions Architect / FAE - AI PCs, Workstations & Servers

Date: Oct 16, 2026

Location: San Jose, US, San Jose

Company: Acer Group

Acer is an EEO employer that considers applicants for all positions without regard to race, color, creed, religion, gender, age, national origin, marital status, status with regard to public assistance, disability, veteran status or preferred orientation.

Job Summary

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Acer is seeking an experienced Field Application Engineer (FAE) to provide technical presales expertise and customer-facing support for its growing commercial workstation, server, and AI computing business. This position will serve as a key technical liaison between Sales, enterprise customers, Product Management, and engineering teams.

The FAE will be responsible for understanding customer requirements, recommending workstation, server and AI solutions, supporting RFP responses, conducting technical presentations, and delivering product training.

The ideal candidate combines strong technical knowledge of enterprise workstation and server hardware with excellent communication, solution architecture, and customer engagement skills. This role requires the ability to translate complex hardware capabilities into practical solutions that address customer business and technical needs.

Job Responsibility

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• Partner with Sales to provide technical expertise throughout the enterprise sales cycle, from customer discovery through solution evaluation and selection.
• Engage customers and partners to assess infrastructure requirements and recommend workstation and server solutions.
• Lead technical presentations, product demonstrations, customer workshops, and solution evaluations.
• Serve as a technical advisor on workstation and server hardware, including processors, GPUs, memory, storage, and networking.
• Develop technical proposals and lead RFP/RFI responses, including hardware specifications, configurations, and compliance requirements.
• Support proof-of-concept evaluations, product benchmarking, and technical validation for enterprise and AI computing solutions.
• Provide technical guidance on GPU-accelerated computing, AI inference, engineering applications, and high-performance workloads.
• Collaborate with Product Management and global engineering teams to address customer requirements, hardware compatibility, customization, and technical challenges.
• Support new product launches through technical demonstrations, customer presentations, product education, and sales enablement.
• Partner with Sales and Business Management to identify opportunities, communicate competitive advantages, and strengthen Acer's enterprise computing business.

Qualifications

• Bachelor's degree in Engineering, Computer Science, IT, or a related field, or equivalent experience.
• 4+ years of experience in technical presales, field application engineering, solution architecture, or customer-facing systems engineering.
• Strong knowledge of enterprise workstation and server hardware, including processors, GPUs, memory, storage, networking, and system configurations.
• Ability to translate customer technical requirements, workloads, and business needs into appropriate workstation, server, and AI computing product recommendations and configurations.
• Experience developing technical proposals, responding to RFPs/RFIs, and delivering customer presentations, demonstrations, and training.
• Understanding of hardware compatibility, system performance, Windows/Linux environments, and enterprise deployments.
• Familiarity with GPU/NPU technologies, AI workstations, accelerated computing, and enterprise server infrastructure.
• Experience collaborating with global engineering, product management, and cross-functional teams.
• Strong technical problem-solving, communication, and presentation skills.

Requirements

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• Bachelor's degree in Engineering, Computer Science, IT, or a related field, or equivalent experience.
• 4+ years of experience in technical presales, field application engineering, solution architecture, or customer-facing systems engineering.
• Strong knowledge of enterprise workstation and server hardware, including processors, GPUs, memory, storage, networking, and system configurations.
• Ability to translate customer technical requirements, workloads, and business needs into appropriate workstation, server, and AI computing product recommendations and configurations.
• Experience developing technical proposals, responding to RFPs/RFIs, and delivering customer presentations, demonstrations, and training.
• Understanding of hardware compatibility, system performance, Windows/Linux environments, and enterprise deployments.
• Familiarity with GPU/NPU technologies, AI workstations, accelerated computing, and enterprise server infrastructure.
• Experience collaborating with global engineering, product management, and cross-functional teams.
• Strong technical problem-solving, communication, and presentation skills.

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