Runlayer is hiring a Senior Solutions Architect to work directly with our top enterprise customers, building custom MCP solutions and solving ad-hoc problems with code and AI. You will be a key technical partner, translating business needs into deployed reality.

What You'll Do

Build bespoke MCP servers for enterprise customers, architecting, developing, and deploying custom solutions tailored to each customer's specific systems, APIs, and workflows.
Work directly with customers to understand their needs through discovery sessions, technical deep-dives, and ongoing collaboration.
Solve ad-hoc problems with code and AI, tackling unique integration challenges, data transformation needs, and custom workflow requirements.
Iterate rapidly based on customer feedback, continuously improving and extending MCP servers.
Bridge technical and business requirements, translating business needs into technical specifications and communicating technical constraints.
Contribute to our MCP platform and tooling based on insights gained from customer deployments.

What We're Looking For

4+ years of software engineering experience with proficiency in Python, TypeScript/JavaScript, and modern development practices.
Proven track record of working directly with enterprise customers, understanding their needs, and delivering technical solutions.
Deep experience building integrations with various APIs, databases, and enterprise systems, including authentication, data transformation, and error handling.
Experience working with AI/ML systems, understanding of LLM capabilities and limitations, and comfort with AI-assisted development workflows.
Ability to quickly understand complex business problems, break them down into technical components, and build pragmatic solutions.
Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
Comfort with building quick prototypes and MVPs to validate approaches before full implementation.

Nice to Have

Direct experience with Model Context Protocol, FastMCP, Vercel AI SDK, Agents SDK, LangGraph, or similar AI agent frameworks.
Background working with enterprise systems like Salesforce, ServiceNow, Jira, Slack, or similar platforms.
Experience with containerization, cloud deployments, and CI/CD pipelines for customer-facing solutions.
Understanding of enterprise security requirements, data privacy, and compliance frameworks.

Technical Stack

Python
TypeScript
JavaScript
MCP

Team & Environment

You'll join an early-stage team, working directly with enterprise customers and alongside top-tier engineers.

Benefits & Compensation

Competitive salary + equity
4 weeks paid vacation
Paid sick leave
Paid parental leave
Budget for conferences, courses, and certifications in AI, enterprise software, and customer success
Choice of laptop and accessories
Comprehensive health, dental, and vision coverage