Solution Architect shaping enterprise - scale architecture within a complex operational landscape at Transport For NSW. Leading digital transformation initiatives and designing secure architectures for organizational success.
About the role
- Solution Architect leading technical architecture and engineering for AI solutions. Driving customer engagement and mentoring technical teams within FuriosaAI.
Responsibilities
- 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
- 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
- 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.
Job title
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