About this opportunity
Vertex Pharmaceuticals lists this Principal Full Stack AI Engineer opportunity in boston, Massachusetts. Review the employer’s description below for duties, qualifications and application requirements.
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.
Job Description
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
Pay Range
$166,640 - $250,000
Disclosure 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.
medical benefits
dental benefits
vision benefits
generous paid time off (including a week-long company shutdown in the Summer and the Winter)
educational assistance programs
student loan repayment
generous commuting subsidy
matching charitable donations
401(k)
so much more
Flex Designation
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status
In this Hybrid-Eligible role, you can choose to be designated as:
Hybrid: work remotely up to two days per week; or select
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.
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
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Worksite address
boston, MA, 02298, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.