System Architect, New Products

San Franciscofull timeOn Site

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senior

$180k–$300k

H1B: no

Wispr Flow System Architect at Wispr Flow to create core building blocks for AI product concepts and shape reference architecture for models, context, memory, and tools. Responsible for building shared platform primitives and making systems reliable and production-ready.

Responsibilities

You’ll create core building blocks for AI product concepts that the team can dogfood and build on. You’ll shape a reference architecture around models, live context, memory, tools, agent harnesses, and durable execution, making crisp calls about what belongs in each layer. You’ll decide which components should become general platform primitives that other teams can adopt.
Build shared platform primitives for agentic systems development, such as memory, context management, tools, and background execution.
Create infrastructure for prototyping, training, and evaluating models, with reusable environments and developer tooling.
Develop systems for triggers and context capture across devices, surfaces, and modalities.
Design harnesses and primitives for coordination and execution handoff between models.
Make these systems reliable and production-ready through observability, recovery, security, and latency and cost controls.
You may be a fit if
You’ve designed and shipped a significant greenfield system from an ambiguous problem through production use, then evolved it based on real failures and usage.
You’ve built shared primitives that multiple teams adopted and made deliberate choices about abstraction boundaries and developer experience.
You’ve owned backend or distributed systems with critical scaling and reliability requirements.
You start design from the user experience and its latency, quality, privacy, and trust requirements.
You’ve created alignment across product, ML, client, and infrastructure teams, communicated architecture and tradeoffs clearly, and driven decisions to closure.

Qualification

Created alignment across product

Required

Designed and shipped a significant greenfield system from ambiguous problem through production use
Built shared primitives adopted by multiple teams with deliberate abstraction boundaries and developer experience
Owned backend or distributed systems with critical scaling and reliability requirements
Start design from user experience and its latency, quality, privacy, and trust requirements
Created alignment across product, ML, client, and infrastructure teams and communicated architecture and tradeoffs clearly

Company

Wispr Flow

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Source: ashby

Active within the past hour

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Must-Have Skills for This Role

AIplatform primitivesmemorycontext managementtoolsbackground execution

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System Architect, New Products at Wispr Flow · LumiJobs