Principal Engineer, Agentic AI Platform Integrations

Job Description Position Summary

Vertex is seeking an Integrations Engineer, Agentic AI Platform to connect the AI/agentic platform to the systems, tools, and data sources that make AI valuable in real enterprise workflows. This role will focus on designing and implementing secure, scalable, and reliable integrations across internal platforms, third-party applications, and business‑critical services.

The ideal candidate brings strong expertise in MCP/A2A protocols, APIs, event‑driven architectures, authentication patterns, and enterprise integration design. This individual will play a key role in ensuring AI capabilities are embedded into day‑to‑day work at Vertex and not as isolated proofs of concept, but as production‑ready solutions integrated into the enterprise ecosystem.

• Design, build, and maintain integrations between the AI/agentic platform and enterprise systems, internal applications, third‑party tools, and business services
• Implement secure, scalable connectivity patterns that enable AI agents and workflows to access data, trigger actions, and interact with enterprise platforms
• Develop and support integrations using MCP, A2A, APIs, webhooks, and event‑driven architectures
• Create reusable connectors, middleware components, and service patterns that accelerate onboarding of new tools and systems into the AI platform
• Partner with platform, product, data, security, and enterprise application teams to ensure integrations meet technical, business, and compliance requirements
• Design robust authentication and authorization patterns for integrated AI services, including identity propagation, token handling, and access control
• Enable AI workflows to interact reliably with core enterprise platforms such as collaboration tools, knowledge systems, workflow tools, and line‑of‑business applications
• Support integration patterns for structured and unstructured data sources used by AI and agentic applications
• Implement monitoring, logging, tracing, error handling, and alerting for integration services and platform connectors
• Ensure integrations are resilient, maintainable, observable, and aligned with enterprise architecture standards
• Contribute to platform governance by defining integration standards, documentation, onboarding guidance, and best practices
• Troubleshoot and resolve issues related to connectivity, data exchange, authentication, latency, and downstream service dependencies
• Evaluate emerging standards and tools in AI system interoperability and enterprise integrations to inform platform evolution

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field; equivalent practical experience may be considered
• 8+ years of experience in software engineering, platform engineering, or enterprise integrations
• Strong hands‑on experience designing and implementing API‑based integrations in enterprise environments
• Experience with MCP, A2A, service‑to‑service communication, or similar integration/interoperability patterns
• Strong understanding of event‑driven architecture, messaging systems, asynchronous processing, and workflow‑based integration design
• Experience with authentication and authorization standards such as OAuth, OIDC, SSO, service principals, secrets management, and token‑based security
• Familiarity with enterprise application integration patterns, middleware, and distributed systems design
• Experience building secure, scalable, and reliable production services
• Strong problem‑solving skills and ability to work across multiple systems, teams, and technical domains
• Strong written and verbal communication skills with the ability to document and explain integration approaches clearly
• Deep understanding of AI‑native software engineering practices and experience establishing standards, governance, and best practices for the responsible use of AI coding assistants and software engineering agents across engineering teams
• Experience defining architecture, standards, and reusable services for large‑scale enterprise environments

• MCP and A2A protocols
• REST APIs and service integration
• Webhooks and…