Principal Engineer, Agentic AI Platform Integrations

Job DescriptionPosition SummaryVertex 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 ResponsibilitiesDesign, build, and maintain integrations between the AI/agentic platform and enterprise systems, internal applications, third-party tools, and business servicesImplement secure, scalable connectivity patterns that enable AI agents and workflows to access data, trigger actions, and interact with enterprise platformsDevelop and support integrations using MCP, A2A, APIs, webhooks, and event-driven architecturesCreate reusable connectors, middleware components, and service patterns that accelerate onboarding of new tools and systems into the AI platformPartner with platform, product, data, security, and enterprise application teams to ensure integrations meet technical, business, and compliance requirementsDesign robust authentication and authorization patterns for integrated AI services, including identity propagation, token handling, and access controlEnable AI workflows to interact reliably with core enterprise platforms such as collaboration tools, knowledge systems, workflow tools, and line-of-business applicationsSupport integration patterns for structured and unstructured data sources used by AI and agentic applicationsImplement monitoring, logging, tracing, error handling, and alerting for integration services and platform connectorsEnsure integrations are resilient, maintainable, observable, and aligned with enterprise architecture standardsContribute to platform governance by defining integration standards, documentation, onboarding guidance, and best practicesTroubleshoot and resolve issues related to connectivity, data exchange, authentication, latency, and downstream service dependenciesEvaluate emerging standards and tools in AI system interoperability and enterprise integrations to inform platform evolutionRequired QualificationsBachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical field; equivalent practical experience may be considered8+ years of experience in software engineering, platform engineering, or enterprise integrationsStrong hands-on experience designing and implementing API-based integrations in enterprise environmentsExperience with MCP, A2A, service-to-service communication, or similar integration/interoperability patternsStrong understanding of event-driven architecture, messaging systems, asynchronous processing, and workflow-based integration designExperience with authentication and authorization standards such as OAuth, OIDC, SSO, service principals, secrets management, and token-based securityFamiliarity with enterprise application integration patterns, middleware, and distributed systems designExperience building secure, scalable, and reliable production servicesStrong problem-solving skills and ability to work across multiple systems, teams, and technical domainsStrong written and verbal communication skills with the ability to document and explain integration approaches clearlyDeep 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 teamsExperience defining architecture, standards, and reusable services for large-scale enterprise environmentsTechnical Skills RequiredMCP and A2A protocolsREST APIs and service integrationWebhooks and event-driven integration patternsEnterprise application integrationAuthentication and authorization designOAuth, OIDC, SSO, and token managementDistributed systems and microservicesMessaging and asynchronous processingIntegration observability, logging, and monitoringData exchange patterns across enterprise systemsSecure connectivity and secrets managementCloud platforms and cloud-native integration architecturesError handling, resiliency, and performance optimizationVersioning, testing, and deployment of integration servicesPreferred SkillsExperience integrating AI or agentic platforms with enterprise tools and business systemsFamiliarity with workflow orchestration platforms and automation frameworksExperience building reusable connectors or SDKs for platform extensibilityKnowledge of enterprise data platforms, document systems, knowledge repositories, and collaboration toolsExperience with regulated environments such as biotechnology, pharmaceuticals, healthcare, or life sciencesExposure to AI platform patterns including tool use, agent execution, retrieval, and action frameworksExperience supporting platform governance, security reviews, and integration documentationUnderstanding of observability practices for complex, multi-system workflows#LI-HYBRIDPay Range:$166,640 - $250,000Disclosure Statement:The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.Flex Designation:Hybrid-Eligible Or On-Site EligibleFlex 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 select2. 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-HybridCompany InformationVertex 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 View email address on click.appcast.io: Boston, MAType: Full time