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Dada Consultants Hiring! Full Time Solution Architect-Presales (AI-Technology) in - Ricebowl

Solution Architect-Presales (AI-Technology)

Dada Consultants

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

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.

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