We are looking for Pre-Sales Solution Architect who will act as the technical lead during the sales cycle. You are responsible for discovering customer requirements, designing validated AI architectures (RA), and proving the value of the vendor's on-premise AI stack.
Key Responsibilities
Technical Discovery & Solution Design
- Requirement Scoping: Lead workshops with C-level executives and Lead Data Scientists to understand their specific AI use cases (e.g., GenAI, LLM fine-tuning, or Edge AI).
- Architecture Design: Create high-level designs (HLD) that integrate the vendor's compute/storage with the customer's existing data center fabric.
- BOM Creation: Work with Account Executives to build accurate technical quotes, including GPU nodes, high-speed networking, and software licensing.
Proof of Concept (PoC) & Value Demonstration
- Live Demos: Showcase the platform's ability to manage GPU workloads, orchestrate containers, and reduce training time.
- PoC Management: Lead technical trials where you install, configure, and benchmark the solution against the customer's specific datasets and performance KPIs.
- TCO/ROI Analysis: Build Cloud vs. On-Prem Total Cost of Ownership models to justify the capital expenditure (CapEx) for the customer.
Technical Advocacy & Evangelism
- RFP/RFI Responses: Take ownership of the technical sections of formal tenders, ensuring all air-gap, security, and performance requirements are met.
- Public Speaking: Represent the vendor at industry trade shows (like NVIDIA GTC or local tech summits) and lead webinars on on-premise AI trends.
Pre-Sales Specific Skills
- Sales acumen able to identify pain points and map them to solution proposition, understanding of customers procurement cycles
- Communication translating technical specifications to business outcome for non-technical stakeholders
- Competitive intelligence deep knowledge of competing vendor solutions and architectures
- Project management managing multiple POCs/RFP submissions/etc concurrently across accounts
Job Requirements:
- Experience: 5-7 years in Pre-Sales or Systems Engineering, specifically in HPC, Storage, or AI Infrastructure.
- Architecture Familiarity: Deep understanding of Reference Architectures (e.g., NVIDIA BasePOD, etc)
- Ability to explain how Multi-Instance GPU (MIG) or GPU Partitioning maximizes a customer's investment.
- Hybrid-Cloud Strategy: Knowledge of how to bridge on-premise hardware with cloud bursts for inference or long-term archiving.
- High emotional intelligence (EQ) and the ability to handle technical objections gracefully during a live sale.
- Willingness to travel to customer sites for on-site discovery and platform deployment.
ONLY SINGAPOREANS CAN APPLY
