Senior Solutions Architect

AI is only as powerful as the tools it can access. Model Context Protocol (MCP) is emerging as the standard for connecting AI to tools & systems—but enterprises can’t adopt it safely without security, observability, and control. That’s where we come in.

At Runlayer
, we're building the AI enablement layer for modern enterprises
. Our platform enables organizations to safely connect agents to their systems through MCP, with the security, auditability, and management enterprises demand. We’re a well-funded early‑stage team that built Zapier's AI platform.

We're hiring a Senior Solutions Architect (US–EU time zones) to work directly with our top enterprise customers, building custom MCP solutions and solving ad‑hoc problems with code and AI.

• Impact: Build and deploy custom MCP servers that directly enable AI capabilities for the world's best companies, seeing immediate impact on their operations.

• Excellence: Work alongside top‑tier engineers and directly with enterprise customers, learning from both technical challenges and business needs.

• Ownership: Take full ownership of customer relationships and technical solutions, from initial problem discovery through deployment and iteration.

• Build bespoke MCP servers for enterprise customers. You'll architect, develop, and deploy custom MCP servers tailored to each customer's specific systems, APIs, and workflows.

• Work directly with customers to understand their needs. You'll conduct discovery sessions, technical deep‑dives, and ongoing collaboration to ensure solutions meet their exact requirements.

• Solve ad‑hoc problems with code and AI. You'll tackle unique integration challenges, data transformation needs, and custom workflow requirements using both traditional coding and AI‑assisted development.

• Iterate rapidly based on customer feedback. You'll continuously improve and extend MCP servers based on real‑world usage patterns and customer requests.

• Bridge technical and business requirements. You'll translate business needs into technical specifications and communicate technical constraints to business stakeholders.

• Contribute to our MCP platform and tooling. You'll help improve our core platform based on insights gained from customer deployments and common patterns you identify.

• Senior engineering expertise. 4+ years of software engineering experience with proficiency in Python, Type Script/JavaScript, and modern development practices.

• Customer‑facing experience. Proven track record of working directly with enterprise customers, understanding their needs, and delivering technical solutions that meet business requirements.

• API and integration experience. Deep experience building integrations with various APIs, databases, and enterprise systems. Understanding of authentication, data transformation, and error handling patterns.

• AI and LLM familiarity. Experience working with AI/ML systems, understanding of LLM capabilities and limitations, and comfort with AI‑assisted development workflows.

• Problem‑solving mindset. Ability to quickly understand complex business problems, break them down into technical components, and build pragmatic solutions.

• Communication skills. Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non‑technical stakeholders.

• Rapid prototyping abilities. Comfort with building quick prototypes and MVPs to validate approaches before full implementation.

• MCP or agent framework experience. Direct experience with Model Context Protocol, FastMCP, Vercel AI sdk, Agents SDK, Lang Graph, or similar AI agent frameworks.

• Enterprise software experience. Background working with enterprise systems like Salesforce, Service Now, Jira, Slack, or similar platforms.

• Dev Ops and deployment experience. Experience with containerization, cloud deployments, and CI/CD pipelines for customer‑facing solutions.

• Security and compliance knowledge. Understanding of enterprise security requirements, data privacy, and compliance frameworks.

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.

• Competitive salary and equity — compensation that reflects your expertise and customer‑facing responsibilities.

• Paid time off — 4 weeks paid vacation, paid sick leave, and paid parental leave.

• Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.

• Top‑tier equipment — your choice of laptop and accessories to create your ideal work environment.

• Health benefits — comprehensive health, dental, and vision coverage.

• Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.

Not quite the right fit? Reach out to with details about your experience and interests.