Solution Architect - AI / HPC Infrastructure (Pre-Sales

This role exists to bridge deeply technical distributed systems design with real-world customer environments. You will partner with customers, sales, and engineering teams to design and translate complex AI and HPC infrastructure into practical, deployable solutions. Success in this role looks like customers who not only understand what is being built-but trust that it will work in real-world conditions where networks are imperfect, environments are constrained, and systems must perform under pressure. You are the connective layer between what is possible and what works in practice., * Architect solutions that operate across distributed, hybrid, or constrained infrastructure

• Identify risks early-network limitations, integration complexity, system dependencies
• Ensure designs prioritize resilience, performance, and long-term operability

Bridge Sales and Engineering

• Translate customer needs into actionable inputs for engineering teams
• Collaborate on solution feasibility, tradeoffs, and delivery expectations
• Stay engaged through early delivery to ensure alignment between design and execution

You are a technical architect who understands that real systems don’t operate in perfect conditions-and neither do customers. More specifically, you:

• Have experience working with distributed systems, infrastructure, or complex technical environments
• Are comfortable discussing system behavior, tradeoffs, and constraints-not just features
• Can engage both technical and non-technical stakeholders with clarity and confidence
• Understand that pre-sales is not about promising everything-it’s about designing what will actually work
• Thrive in environments where you are expected to think, adapt, and contribute beyond a defined role
• Are energized by building something early, where structure is evolving, and impact is visible, * Experience with AI, HPC, or GPU-based infrastructure
• Background in hybrid cloud, edge computing, or distributed environments
• Familiarity with networking constraints, performance tuning, or system-level behavior
• Experience in early-stage or high-growth environments