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Coupa is seeking a Senior Enterprise Architect to own the technical design and governance of its custom connector and Model Context Protocol (MCP) server portfolio. This role is central to enabling agentic AI systems to reach internal and third-party systems securely and at scale, with hands-on technical leadership of the integration engineering team.
Key Responsibilities:
- Define reference architecture for MCP servers and custom connectors, including transport protocols (stdio/SSE/streamable HTTP), authentication, schema/versioning, error semantics, and observability.
- Design and review connector specifications for internal systems (Coupa platform, NetSuite, SAP, Workday, Salesforce) and external partner APIs.
- Establish security and governance patterns: OAuth2/OIDC flows, credential/secrets management, least-privilege scoping of agent tool access, and audit logging.
- Own the technical roadmap and backlog prioritization for the integration team in partnership with the Sr. Director.
- Provide architecture review and code-level guidance to AI Integration Engineers; unblock design decisions.
- Evaluate and select platform components (iPaaS, orchestration frameworks, agent SDKs, API gateways) for scalability and maintainability.
- Define and enforce testing/evaluation standards for connector reliability and agent tool-calling correctness.
- Act as technical escalation point for production incidents involving connectors/MCP infrastructure.
- Partner with Security, Data Governance, and Enterprise Architecture on compliance requirements (SOC 2, data residency, PII handling).
About Coupa:
Coupa's community-generated AI and industry-leading total spend management platform serves businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers, enabling customers to predict, prescribe, and automate smarter, more profitable business decisions.
Requirements:
- 8+ years in software/integration engineering, including 3+ years in an architect or technical lead role.
- Deep hands-on experience building API integrations/connectors at enterprise scale (REST, GraphQL, gRPC, webhooks, event streaming).
- Working knowledge of MCP (Model Context Protocol) or comparable agent-tool-calling frameworks; understands transport, schema, and session-lifecycle tradeoffs.
- Strong command of at least one of Python, TypeScript/Node.js, and proficiency reading the other.
- Practical experience with LLM/agent frameworks (Anthropic/OpenAI SDKs, LangChain/LangGraph, or equivalent) and tool-calling design patterns.
- Solid grounding in identity/auth (OAuth2, OIDC, SAML), API security, and secrets management (Vault, AWS/GCP secret managers).
- Cloud platform experience (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Experience with enterprise systems integration (ERP, finance, procurement) — Coupa, NetSuite, SAP, or similar is a strong plus.
- Excellent written communication in English; able to produce architecture docs and lead design reviews with US/global stakeholders.
