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.

Key Responsibilities

• 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

Required Qualifications

• 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

Technical Skills Required

• MCP and A2A protocols
• REST APIs and service integration
• Webhooks and event-driven integration patterns
• Enterprise application integration
• Authentication and authorization design
• OAuth, OIDC, SSO, and token management
• Distributed systems and microservices
• Messaging and asynchronous processing
• Integration observability, logging, and monitoring
• Data exchange patterns across enterprise systems
• Secure connectivity and secrets management
• Cloud platforms and cloud-native integration architectures
• Error handling, resiliency, and performance optimization
• Versioning, testing, and deployment of integration services

Preferred Skills

• Experience integrating AI or agentic platforms with enterprise tools and business systems
• Familiarity with workflow orchestration platforms and automation frameworks
• Experience building reusable connectors or SDKs for platform extensibility
• Knowledge of enterprise data platforms, document systems, knowledge repositories, and collaboration tools
• Experience with regulated environments such as biotechnology, pharmaceuticals, healthcare, or life sciences
• Exposure to AI platform patterns including tool use, agent execution, retrieval, and action frameworks
• Experience supporting platform governance, security reviews, and integration documentation
• Understanding of observability practices for complex, multi-system workflows

#LI-HYBRID

Pay Range:

Disclosure Statement:

Flex Designation:

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 
1.    Hybrid: work remotely up to two days per week; or select
2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid
 

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected]