Senior Principal AI Platform Engineer, Data & AI Platform

Vertex Inc.; Boston (MA); On-site; USD 188,000 - 282,000; Full time

Benefits offered by this job

Annual bonus

Equity awards

Medical, dental, vision insurance

401(k)

Job summary

Vertex Pharmaceuticals is seeking a Senior Principal AI Engineer to help drive enterprise-scale AI adoption on our data & AI platform. You will design reusable components, starter kits, and pattern libraries to accelerate AI across Vertex's data platform.

You will collaborate with platform engineering, governance and product teams to ship AI solutions safely,, securely and at scale, influencing enablement programs across the organization.

Qualifications

• 10+ years of experience with data, advanced analytics, and 5+ years delivering cloud-based data products.
• Strong experience with AI/ML and GenAI products.
• 5+ years delivering projects in agile environments.

Responsibilities

• Platform management to enable scalable AI adoption across the organization.
• Design, build and maintain production-grade AI starter kits.
• Deliver end-to-end reference implementations for AI workloads.

Skills

GenAI

LLM

Agentic AI

Dev/DataOps

MLOps

Snowflake

Databricks

Jira

Confluence

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

Snowflake

Databricks

Job description

Job Description

We are seeking a unique individual with a passion for data and AI technology who can help our team drive forwardenterprise-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 willunlock and accelerate AI by designing the reusablecomponents, starter kits, and opinionated developer firstpatternsfor our Data Platform.This person will be a key contributing member of theData Platform,driving forward the deploymentand managementofVertex’senterprise platform fordata & AI.This roleoperatesat the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patternsembeddinggovernance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering,governance, and product teams to actas a technicalmultiplier, enabling dozens of teams across Vertex to shipsafely, consistently, and securely.To support enablement, you will advise and influence high-impact initiatives across theorganization andlead a scaled enablement programto 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, andmaintainproduction-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 forleveragingthe 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 – Packagesolutionsas 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, orMLOps, and a solid understanding of enterprise software development tools and methodologies.Experience with Snowflake or Databricks isrequired.

• Workflow Tools – Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.

• Productand SolutionManagement – Experience managing the creation and grooming of epics and themes for productand Solutionroadmaps.

• 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 learnnew technologiesand concepts.

• Adaptability and Problem-Solving – Enthusiasm for and ability to quickly learnnew technologiesand tackle complex challenges.

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

Education and Experience:

• Successfultrack recordwith10+ years of experience working with data, advanced analytics, and5+ 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

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 [e-mail]