Six Figure Work

Principal Full Stack AI Engineer

Vertex Pharmaceuticals

Company websitevrtx.com (Vertex Pharmaceuticals, opens in new tab)

Base salary $166,640  to $250,000

Employer-published annual base salary, USD. Advertised base range in Boston, MA

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  • LocationBoston, MA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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]

Source: Vertex Pharmaceuticals on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($166,640) is above 62% of the 133 Data & ML roles in Massachusetts listed on this site. Their median floor is $149,000; the middle half runs from $126,000 to $177,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Vertex Pharmaceuticals roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Vertex Pharmaceuticals roles with the nearest advertised base floor
RolePublished base
Principal Full Stack AI Engineer (this listing)$166,640 - $250,000
Principal Analyst, Digital Discoverability & AI Optimization$166,640 - $250,000
Associate Director, Regulatory CMC, Biologics$166,400 - $249,600
Director, Strategic Accounts - West Region (TX, CA, CO , AZ)$166,400 - $249,600
Associate Director, Automation Engineering$166K - $249K
Pain Regional Field Sales Leader - South Florida Territory$168K - $252K
Senior Principal Scientist, Agentic Systems Development for Drug Discovery$168K - $252K

Same $100K to $400K scale as every card. All Vertex Pharmaceuticals roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-08
Where this pay comes from

Location as the employer wrote it: Boston, MA

$166,640 - $250,000

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.