Principal Full Stack AI Engineer
Vertex Pharmaceuticals · Boston, MA · United States
- Employer
- Vertex Pharmaceuticals
- Requisition id
- Principal-Agent-Engineer--AI-Agentic-Platform_REQ-29761
- First posted (employer ATS)
- (28d ago)
- First seen by this site
- 2026-09-10T22:59:13Z
- Last verified live
- 2026-10-06T02:18:38Z
- Source
- Employer career portal (workday)
Job description
Job Description
Position Summary
Vertex is seeking an
AI Full-Stack
Engineer to create the next generation of AI
-powered applications and
agents that deliver practical value across internal and user-facing experiences.
This role will own solutions end to end—from user experience and application services to agent orchestration, data access, platform integration, deployment, and production operations.
The ideal candidate
combines
strong
full-stack software
engineering
fundamentals with hands-on experience building AI-enabled products.
This individual will use a forward deployed engineering mindset to work closely with stakeholders, rapidly iterate on real-world use cases, connect
applications and
agents to
enterprise
systems, and continuously improve quality through measurement and feedback.
The AI Full-Stack
Engineer will
help shape
how
secure, reliable, and scalable AI solutions
are adopted across Vertex.
Key Responsibilities
Design,
build
, and productionize
full-stack
AI
applications,
agents
,
and multi-step workflows for internal and user-facing use cases
Apply a forward deployed engineering approach by working closely with end users, product teams, and business stakeholders to solve real workflow problems quickly and effectively
Build agents that can reason across steps, invoke tools, call APIs, retrieve information, and take actions within defined enterprise guardrails
Own end-to-end solution delivery across user interfaces, application services, APIs, data access, agent orchestration, and integrations with internal platforms, third-party applications, and business-critical systems
Develop reusable agent patterns, components, prompts, tools, and orchestration logic that can be scaled across use cases
Rapidly iterate on agent behavior based on usage data, qualitative feedback, evaluation results, and operational metrics
Improve agent quality through testing, experimentation, benchmarking, and structured measurement of outcomes
Partner with platform, integration, data, security, and product teams to ensure agents are secure, reliable, maintainable, and aligned with enterprise architecture
Help define best practices for agent design, tool use, fallback behavior, escalation paths, and human-in-the-loop workflows
Support
the complete software lifecycle, including architecture, development, integration,
deployment, monitoring, troubleshooting, and optimization in production environments
Contribute to observability practices for agent execution, including logging, tracing, performance tracking, and issue analysis
Ensure solutions are designed with security, compliance, and responsible AI principles in mind
Stay current on emerging patterns, frameworks, and technologies in generative AI and agentic systems, and translate them into practical applications for Vertex
Required Qualifications
Bachelor’s degree in Computer Science
, Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience may be considered
Experience in
full-stack
software engineering, AI engineering, machine learning engineering, or intelligent application development
Hands-on experience building
and operating production
applications powered by large language models, AI workflows, or agentic systems
Experience
designing and delivering end-to-end
applications
across front-end, back-end,
APIs, data
stores
, and enterprise systems
Demonstrated experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.
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
Demonstrated ability to move from prototype to production while balancing speed, quality, and operational rigor
Experience working directly with users or stakeholders to iteratively refine technical solutions based on real-world needs
Strong problem-solving and
systems
-thinking skills
Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams
Technical Skills Required
Full-stack application development across modern front-end and back-end technologies
Large language model application development
Agentic workflow design and orchestration
Prompt engineering and prompt iteration
Tool use and API integration for AI agents
Multi-step workflow automation
Rapid prototyping and
productionization
Evaluation, testing, and quality measurement for AI systems
Application logging, monitoring, and observability
API design, service development, data modeling, and application architecture
Distributed systems and service integration
Secure software development practices
Enterprise application integration
Cloud-based application development
Version control, CI/CD, and deployment practices
Preferred Skills
Experience using a forward deployed engineering or similar embedded delivery model
Experience building internal copilots, assistants, or task-oriented AI agents
Familiarity with orchestration frameworks, agent runtimes, tool-calling architectures, and retrieval patterns
Experience integrating with enterprise collaboration tools, workflow systems, document platforms, or knowledge repositories
Familiarity with evaluation frameworks for AI quality,
groundedness
, task completion, and reliability
Experience designing human-in-the-loop workflows and safe failure or escalation mechanisms
Exposure to AI observability, tracing, and operational analytics
Experience in regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences
#LI-Hybrid
At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.
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. 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 Eligible
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]
Apply on Vertex Pharmaceuticals’s site
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