Solution Architect – AI, HPC Infrastructure

🕒 July 15

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ThisWay Global

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $1.1M Equity Crowdfunding on 2021-12

Artificial Intelligence • B2B • SaaS

ThisWay Global is a technology company that specializes in aiding organizations with the adoption of AI and automation. The company focuses on maximizing return on investment by streamlining processes and leveraging big data, AI, and computational processing. They provide solutions for businesses, government, higher education, and research teams to alleviate time spent on low-value tasks. ThisWay Global emphasizes user-friendly systems and flexible automation to ensure impactful and efficient technology integration. Their platform is built to help organizations navigate the challenges related to AI and automation, enabling them to stay competitive in the evolving technological landscape.

📋 Description

• 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 DoTranslate 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 • 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