Solution Architect - AI / HPC Infrastructure (Pre-Sales)
New
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Artificial IntelligenceDistributed SystemsNetworking
Requirements
- Experience working with distributed systems, infrastructure, or complex technical environments
- Comfortable discussing system behavior, tradeoffs, and constraints
- Ability to engage both technical and non-technical stakeholders with clarity and confidence
- Understanding that pre-sales is about designing what will actually work
- Thrives in environments where thinking, adapting, and contributing beyond a defined role is expected
- 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
Responsibilities
- 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
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