Senior Principal AI Platform Engineer, Data & AI Platform

Boston, MA

Open 6 months, first seen by us 198 days ago

Pay: $188,000–282,000/yearAnnual period assumed — pay source
Pay Range: $188,000 - $282,000 Disclosure Statement:
Read the full posting
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Design and maintain production-grade AI starter kits
Deliver end-to-end reference implementations for AI workloads
Package solutions as templated internal tooling and opinionated defaults
Lead scalable enablement programs across the Data Platform
Partner with platform, governance and product teams on AI data solutions

From the employer’s posting

Design, build, and maintain production-grade AI starter kits

Deliver end-to-end reference implementations for AI workloads

Package solutions as templated, internal tooling, and opinionated defaults

Lead scalable enablement programs across the Vertex Data Platform

Partner with platform engineering, governance, and product teams to deliver data solutions

What you’ll bring

All qualifications

Core experience

Strong experience working with AI/ML and GenAI products
5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience

Qualification wording

Strong experience working with AI/ML and GenAI products

5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.

Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience

Education & alternatives

- 5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices. - Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience #LI-HYBRID

Apply at Vertex Pharmaceuticals

Posting record

Report an error

Open 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 20, 2026198 days ago
Recorded sightings: 268
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$188K–$282K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 198

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,362 similar postings that came down. Coming down is not always a hire.

Vertex Pharmaceuticals is hiring

20 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Databricks
Snowflake

Where the posting names them

Knowledge and Skills: - Technical Expertise – Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required. - Workflow Tools – Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.

Upload resume Add LinkedIn

Your next step

Complete your application on vrtx.wd501.myworkdayjobs.com. The employer’s form will show what is required.

Applying through Workday

You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
“Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Job Description

We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data & AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data “at their fingertips”, with the patterns and technology to support AI adoption at scale.

As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex’s enterprise platform for data & AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.

Key Duties & Responsibilities:

Platform Management – Design, support, and continuously enhance Vertex’s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.

Design and Build – Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.

Reference Implementations – Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.

Delivery Management – Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.

Solution Packaging – Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.

Team Enablement – Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.

Technology Champion – Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex’s technological capabilities to support future growth.

Innovation Champion – Identify and implement process enhancements and opportunities to improve Vertex’s data and AI platform, ensuring alignment with best practices and industry standards.

Enablement Champion – Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.

Knowledge and Skills:

Technical Expertise – Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
Workflow Tools – Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
Product and Solution Management – Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.

Project Management – Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.

Team Collaboration – Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.

Mentorship and Support – Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.

Adaptability and Problem-Solving – Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.

Communication Skills – Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.

Education and Experience:

Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
Strong experience working with AI/ML and GenAI products

5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience

#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:

$188,000 - $282,000

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.

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 ApplicationAssistance@vrtx.com

Source details