Solution Architect/Presales (AI/TECH)
We have been engaged by a leading AI firm to assist in the search for a Solution Architect/Presales as part of their global expansion
Position Overview
We are seeking a highly skilled Solution Architect to join our team and drive the design, customization, and deployment of AI infrastructure solutions for enterprise customers.
Key Responsibilities
- Work closely with sales, product, and engineering teams to design and deliver tailored AI infrastructure solutions to customers.
- Understand customer needs around large model training, inference deployment, and private AI deployments, and translate them into technical architectures using Organisation products (GPU servers, NCP platform, AI appliances, etc.).
- Lead technical discussions, solution presentations, workshops, and proof-of-concepts (POCs) with enterprise clients.
- Develop detailed solution proposals, technical documentation, and architecture diagrams.
- Provide pre-sales and post-sales technical support, including system sizing, integration planning, and deployment guidance.
- Act as a trusted technical advisor to enterprise customers, ensuring solution feasibility, scalability, and alignment with customer goals.
- Stay updated on AI trends, GPU technology, cloud and on-prem AI architectures, and share insights with internal teams.
- Collaborate with the product team to feedback real-world customer needs and influence product roadmap and features.
Qualifications
- Bachelor's degree or above in Computer Science, Electrical Engineering, AI, or a related technical field.
- Relavant experience in solution architecture, technical consulting, or infrastructure engineering, preferably in AI, HPC, or cloud environments.
- Strong technical knowledge of GPU computing, AI/ML infrastructure, server hardware, and networking.
- Familiarity with large model (LLM) training frameworks (e.g., PyTorch, TensorFlow) and AI model lifecycle management.
- Experience with liquid cooling systems, data center operations, or high-density hardware deployments is a strong plus.
Regret to inform that only shortlisted candidates will be notified.
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EA Registration Number: R1878287
Business Registration Number: 201735941W.