Solution Architect - AI / HPC Infrastructure (Pre-Sales)
标题解决方案架构师 AI/HPC 基础设施 (售前)专注于面向客户的架构系统分布式系统设备配置位置远程 - 美国部门产品网页版 工程豁免/分类豁免,全职概述:这个角色是将技术深入的分布式系统设计与现实客户环境联系起来。你将与客户,销售和工程团队合作,设计并将复杂的 AI 和 HPC 基础设施转化为实际可部署的解决方案。在这个角色中成功看起来像是客户不仅了解正在建设的东西,而且相信它将在现实环境下工作,网络是不完美的,环境是有限的,系统必须承受压力。你是可能和实际上运行的之间的连接层。你做什么 将复杂系统转化为现实世界的解决方案 ·与客户合作以理解技术环境,限制和目标 ·设计反映现实世界条件 (延迟,带宽,可靠性)的解决方案架构 · 通过清晰而切实的方式沟通复杂分布式系统概念 · 支持销售过程作为客户对话的技术对手 · 引导架构讨论,白板会议和技术发现 ·通过清晰度,深度和诚实的评估权衡建立信任 · 不完美的环境设计 · 在分布式,混合或有限基础设施上运营的建筑解决方案 · 早确定风险网络限制,集成复杂性,系统依赖 ·确保设计优先考虑弹性,性能和长期可操作性的桥梁销售和工程 · 将客户需求转化为工程团队的可行的投入 · 合作解决方案可行性,妥协和交付期望 · 在早期交付中保持参与以确保设计与执行之间的协调操作拥有者和灵活性 · 在快速发展的初创环境中导航模糊性 ·在需要时从建筑到早期实施支持方面发挥作用 ·帮助塑造 TWG 如何提供并扩展其解决方案时间要求你是一个技术架构师,了解到实际系统不运作完美的条件下客户也不。更具体地说,你:· 有经验与分布式系统工作
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Title
Solution Architect — AI / HPC Infrastructure (Pre-Sales)
Focus
Customer-Facing Architecture | Distributed Systems | AI / HPC Deployments
Location
Remote - United States
Department
Product | Engineering
Exemption/Classification
Exempt, Full Time
Overview:
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.
What You Do
Translate Complex Systems into Real-World Solutions
- Partner with customers to understand technical environments, constraints, and goals
- Design solution architectures that reflect real-world conditions (latency, bandwidth, reliability)
- Communicate complex distributed systems concepts in a clear, practical way
Lead Technical Pre-Sales Engagements
- Support the sales process as the technical counterpart in customer conversations
- Guide architecture discussions, whiteboarding sessions, and technical discovery
- Build trust through clarity, depth, and honest assessment of tradeoffs
Design for Imperfect Environments
- 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
Operate with Ownership and Flexibility
- Navigate ambiguity in a fast-moving, startup environment
- Contribute across roles when needed—from architecture to early implementation support
- Help shape how TWG delivers and scales its solutions over time
Requirements
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
This is not a demo-driven sales engineering role built around pre-packaged solutions. It is not focused on application-layer or SaaS-style architecture, and it does not operate within a highly structured, process-heavy environment with rigid handoffs.
Accelerators
- 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
Originally posted on Himalayas