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Solutions Architect
OtherRemote — United States
Published on 2026-09-21
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Serve as a customer-facing technical partner for strategic deals, helping organizations architect, integrate, and scale their LLM usage on OpenRouter. Lead discovery, solution design, proofs of concept, and technical documentation, while bringing partner needs back to Product and Engineering.
About the company
OpenRouter is a unified API that routes requests across large language model providers so developers can access, switch, and scale models without lock-in or complex multi-provider integrations.
The team
Go To Market
Stack
LLM APIsOAuth 2.0PKCEMCP
What you'll do
- Lead technical discovery and architecture discussions with customer engineering and infrastructure teams.
- Translate partner requirements into integration specifications for Engineering.
- Build and debug working integrations and proofs of concept with design partners.
- Track open technical questions and decisions through resolution.
- Create reusable reference architectures, integration guides, and demo environments.
- Share customer and market feedback with Product and Engineering.
What we're looking for
- 7+ years in a customer- or partner-facing technical role at an API-first or developer infrastructure company.
- Hands-on experience with API platform design, including authentication, authorization, multi-tenancy, rate limiting, webhooks, and usage metering.
- Experience designing embedded or platform integrations involving account ownership, billing, and data flows.
- Able to write technical specifications engineers can implement.
- Strong written communication and confidence leading discussions with senior technical stakeholders.
Nice to have
- Experience with an API or platform company's partner or embed program.
- Familiarity with gateways, proxies, trust and safety systems, or billing and metering infrastructure.
- Hands-on experience with LLM APIs, agents, MCP, or multi-provider routing.
- Personal projects involving AI agents, self-hosted models, or infrastructure.