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Solution Architect - AI / HPC Infrastructure (Pre-Sales)

2 weeks, 6 days ago
United States
Full-time
Senior
Sales Engineer
Artificial Intelligence and Machine Learning
Apply Now
ThisWay® Global

ThisWay® Global

ThisWay® Global revolutionizes job search by connecting individuals and businesses worldwide with innovative technology, enhancing diversity and professional success instantly.

Professional Services
11-50
Founded 2016
$3M raised
View All Jobs 5

Description

  • Partner with customers to understand technical environments, constraints, and goals.
  • Design solution architectures that account for latency, bandwidth, reliability, and other real-world conditions.
  • Communicate complex distributed systems concepts in a clear and practical way.
  • Support the sales process as the technical counterpart in customer conversations.
  • Lead architecture discussions, whiteboarding sessions, and technical discovery.
  • Build trust through honest assessment of tradeoffs and solution feasibility.
  • Design solutions for distributed, hybrid, or constrained infrastructure.
  • Identify risks early, including network limitations, integration complexity, and system dependencies.
  • Translate customer needs into actionable inputs for engineering teams.
  • Collaborate with engineering on feasibility, tradeoffs, and delivery expectations.
  • Stay engaged through early delivery to ensure alignment between design and execution.
  • Contribute across roles as needed, from architecture to early implementation support.

Requirements

  • Experience working with distributed systems, infrastructure, or complex technical environments.
  • Comfort discussing system behavior, tradeoffs, and constraints rather than only features.
  • Ability to engage both technical and non-technical stakeholders with clarity and confidence.
  • Understanding that pre-sales is about designing solutions that will actually work, not promising everything.
  • Ability to think, adapt, and contribute beyond a defined role in a fast-moving environment.
  • Interest in building in an early-stage environment 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.

Interested in this position?

Apply directly on the company website

Apply Now

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