Solution Architect – APAC

FuriosaAI

Solution Architect responsible for hands-on architecture and customer engagement for AI acceleration. Collaborating with teams to develop enterprise and cloud solutions in Singapore.

Posted 4/27/2026full-timeSingapore • 🇸🇬 SingaporeMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudDistributed Systems

About the role

Key responsibilities & impact

The Solution Architect will be a critical technical and strategic contributor responsible for both hands-on architecture and engineering support, as well as driving customer engagements and adoption of our advanced Tensor Contraction Processor technologies.
Develop and oversee end-to-end technical architectures for enterprise and cloud-based AI solutions.
Provide technical expertise and hands-on guidance on integrating FuriosaAI AI accelerators, and server LLMs into customer environments.
Collaborate with engineering and product teams to influence product roadmap and feature enhancements based on customer feedback and market trends.
Serve as a trusted advisor to enterprise and cloud customers, translating technical challenges into actionable solutions.
Lead pre-sales activities including technical presentations, proof-of-concepts, and tailored solution demonstrations.
Engage directly with key customers to understand their needs, offer technical guidance, and ensure seamless integration and deployment of our solutions.
Partner with Sales, Marketing, and Product teams to develop go-to-market strategies, technical collateral, and customer success stories.
Mentor and lead a team of solution architects and technical experts, fostering continuous learning and collaboration.
Stay abreast of emerging trends in AI hardware, enterprise cloud computing, and related technologies.
Represent FuriosaAI at industry events, conferences, and customer forums, building the brand as a leader in advanced AI acceleration.

Requirements

What you’ll need

Proven hands-on experience with GPGPUs, AI Accelerators, and server LLMs in enterprise or cloud environments.
Deep understanding of modern data center architectures, distributed systems, and high-performance computing.
Proficiency in relevant programming languages and frameworks with experience in deploying AI models at scale.
Demonstrated expertise using industry-standard benchmarking tools (e.g., MLPerf, vLLM Benchmarking) to analyze and optimize AI model performance across heterogeneous compute architectures.
Demonstrated experience in pre-sales, consulting, or technical leadership roles with direct customer engagements.
Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
Previous leadership experience managing technical teams or leading customer initiatives.
Ability to think strategically about market trends, customer needs, and competitive landscapes, driving innovation and product evolution.
Bachelor’s or Master’s degree in computer science, Electrical Engineering, or a related field. Advanced certifications or equivalent industry experience is a plus.
Must be fluent in oral and written English.
Proficiency in Korean is a plus.

Benefits

Comp & perks

Opportunity to work with cutting-edge AI technologies in a dynamic and innovative environment.
Competitive compensation and benefits package.
A collaborative culture that values creative problem-solving, continuous learning, and professional growth.
The chance to shape the future of AI acceleration for enterprise and cloud markets.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GPGPUsAI Acceleratorsserver LLMsdata center architecturesdistributed systemshigh-performance computingprogramming languagesAI model deploymentbenchmarking toolsMLPerf

Soft Skills

communication skillspresentation skillsstrategic thinkingcustomer engagementleadershipmentoringcollaborationproblem-solvingtechnical guidancecustomer success

Certifications

Bachelor’s degreeMaster’s degreeElectrical Engineeringcomputer scienceadvanced certifications