Principal Full Stack AI Engineer
Job Location:
Boston, NH - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job Description
Position Summary
Vertex is seekinga Full-Stack AIEngineer tohelp build extend and operate ourAgentic AI platform end to this role you will develop AI agents and the services APIs and interfaces around them andconnect the platform to the systems tools and data sources that make AI valuable in real enterprise workflows.
The ideal candidateis a versatile engineer who is comfortable across the stackincludingbackend services and APIs agent frameworks and orchestration data and retrieval pipelines and lightweight front-end experienceswith real depthinenterprise integration designMCP/A2A protocols event-driven architecturesandauthentication patterns.This individual will play a key role in ensuring AI capabilities are embedded into day-to-day work at Vertexandnot as isolated proofs of concept but as production-ready solutions integrated into the enterprise ecosystem.
Key Responsibilities
Platform and integrations: connecting the agentic AI platform to enterprise systems third-party tools and business-critical services through MCP A2A APIs webhooks and event-driven patterns
Agent and service development: building agents tools and the backend services that support tool use orchestration memory and action execution
Data and retrieval: making structured and unstructured enterprise content usable by AI workflows through ingestion retrieval and grounding patterns
User-facing experiences: building and extending lightweight interfaces chat surfaces and developer-facing SDKs and connectors that put agents in the flow of work
Reliability and governance: observability evaluation security reviews and the standards that keep agentic solutions safe and supportable in a regulated environment
Build and ship AI and agentic capabilities end to endfrom backend services and APIs to the interfaces and connectors users and developers interact with
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 SDKs middleware components and service patterns that accelerate onboarding of new tools and systems into the AI platform
Implement agent capabilities such as tool use orchestration retrieval and action execution and tune them for accuracy latency and cost
Partner with platform product data security and enterprise application teams to ensure solutions meet technical business and compliance requirements
Design robust authentication and authorization patterns for 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
Build data and retrieval pipelines that make structured and unstructured sources usable by AI and agentic applications
Implement monitoring logging tracing evaluation error handling and alerting across agents and integration services
Ensure solutions are resilient maintainable observable and aligned with enterprise architecture standards
Contribute to platform governance by defining 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 engineering system interoperability and enterprise integration to inform platform evolution
Required Qualifications
Bachelors degree in Computer Science Information Systems Software Engineering or a related technical field; equivalent practical experience may be considered
Experience in software engineering AI/application engineering or platform engineering including shipping production services
Full-stack development experience in Python and/or TypeScript spanning backend services and APIs plus modern front-end or developer-facing surfaces
Hands-on experience building with LLMs and agent frameworks including tool calling orchestration retrieval-augmented generation prompting and evaluation
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 on modern cloud platforms
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 technical approaches clearly
Understanding of AI-native software engineering practices including effective and responsible use of AI coding assistants and software engineering agents
Technical Skills
Python and/or TypeScript across backend and front-end
LLM APIs agent frameworks tool calling and orchestration
Prompt design evaluation harnesses and quality/cost/latency tuning
Retrieval-augmented generation embeddings and vector stores
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
Observability logging tracing and monitoring
Data exchange patterns across enterprise systems
Secure connectivity and secrets management
Cloud platforms and cloud-native architectures
Error handling resiliency and performance optimization
Versioning testing CI/CD and deployment of production services
Preferred Skills
Experience building or integrating AI and agentic platforms with enterprise tools and business systems
Experience with Microsoft AI and cloud technologies such as Azure AI Foundry M365 Copilot and agent frameworks
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
Experience supporting platform governance security reviews and technical documentation
Understanding of observability and evaluation practices for complex multi-system agentic workflows
#LI-HYBRID
Pay Range:
$166640 - $250000Disclosure 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 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 Vertexs 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 persons 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
Required Experience:
Staff IC
About Company
Vertex Pharmaceuticals invests in scientific innovation to create transformative medicines for people with serious diseases.
