Solutions Architect
OpenRouter is hiring a Solutions Architect for a remote role open to applicants in United States. Level rates it ; you can apply on OpenRouter.
Level's read on this job
- On Level's scale, this solutions architect role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include LLMs, APIs and AI agents.
- Level classifies it as a senior role.
- Level lists 28 other open roles at OpenRouter.
AI in this role
Solutions Architect partnering with sales to lead technical discovery, architecture, and integration of enterprise LLM routing solutions.
About OpenRouter
OpenRouter is the open AI routing and infrastructure layer that enterprises use to access, manage, and optimize the best large language models across providers—without lock-in, capacity constraints, or unnecessary cost. We power some of the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.
As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.
About the Role
As a Solutions Architect, you'll be the technical backbone of our sales organization — partnering with Business Development Managers and Product Managers to translate complex customer requirements into winning technical strategy. You'll work directly with engineering, infrastructure, and platform teams at our largest prospects and customers, helping them understand how to architect, integrate, and scale their LLM usage on OpenRouter.
This is a hands-on, customer-facing technical role. You'll run technical discovery, lead architecture conversations, build and support proofs of concept, and be the trusted technical voice in complex, multi-stakeholder deals — while also feeding what you learn back into Product and Engineering to make OpenRouter better.
What You'll Do
Partner with Business Development Managers and Product Managers on strategic partnership opportunities, leading technical discovery, solution design, and architecture discussions with customer engineering and infrastructure teams.
Run technical discovery with partner product and engineering teams, map their product to our integration patterns, and present the options with honest tradeoffs.
Capture partner requirements and get launch-blocking needs, scale needs, and compliance needs on paper before commercial terms are agreed
Turn partner requirements into integration specs our engineering team builds from
Keep a single current list of open technical questions and decisions for every active partner deal, and chase them to resolution.
Stand up working integrations with design partners, debug in real time, and drive to a clear technical yes.
Build reference architectures, integration guides, and demo environments so future partner integrations take a fraction of the effort of the first.
Work closely with Product, Engineering, and Customer Engineering to bring customer and market signal back into the roadmap, and to make sure partner feedback shapes what we build next.
Stay technically sharp. Keep pace with the fast-evolving LLM landscape — new models, providers, infrastructure patterns, and the tools your customers are already using.
What We're Looking For
7+ years in a technical, partner- or customer-facing role (solutions architect, partner engineer, sales engineer, forward-deployed engineer) at an API-first or developer infrastructure company.
Hands-on depth in API platform design: authentication and authorization (OAuth 2.0, PKCE, token exchange, API key management), multi-tenancy, rate limiting, webhooks, and usage metering.
Experience designing embedded or platform integrations where account ownership, billing, and data flows were part of the design.
A track record of writing technical specs that engineers actually built from.
Comfortable leading a call with a senior technical leaders internally and externally
Strong written communication. A large part of this job is clear documents.
Genuine technical curiosity about OpenRouter and our partner’s products and the AI tools and infrastructure ecosystem more broadly.
Nice to Haves
Experience at an API or platform company with a partner or embed program
Familiarity with gateways and proxies, trust and safety or abuse systems, or billing and metering infrastructure.
Hands-on time with LLM APIs, agents, MCP, or multi-provider routing.
Personal projects involving AI agents, self-hosted models, or infrastructure tinkering.
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.
How we rate this
Solutions Architect at OpenRouter rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where solution architecture was part of your work. What did you do?
- Tell me about a project where technical sales was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where api integration was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Solution Architecture, Technical Sales, Infrastructure, and API Integration. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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