AI Product Engineer - Data

Job Description

General Summary:

At Vertex, we are pioneering the use of Generative AI to create transformative solutions across our organization. Our corporate data science team is at the forefront of that effort, and we are looking for a talented AI Product Engineer - Data to build the foundations for the next generation of human augmented AI products.

The ideal candidate brings strong experience in data engineering for AI teams and exposure to Large Language Model (LLM) technologies within data solutions. We are seeking engineers with strong experience collaborating with data scientists to prepare and organize data for AI solutions and enable scale from pilot to production.

You will work on a highly collaborative, centralized team of data scientists, engineers, and strategists that drive value and impact for our highest priority business needs. You will work side-by-side with internal partners across clinical, commercial, manufacturing and general and administrative areas to develop creative solutions that contribute meaningfully to our business and patients.

Key Duties and Responsibilities:

• Develop and optimize data assets for the retrieval of structured and document-based sources in support of the Generative AI program
• Implement and maintain metadata repositories for Generative AI solutions
• Develop clean, maintainable data assets to automate AI and data science-ready outputs using modern data platform tooling
• Employ strong testing and documentation techniques for traceability
• Collaborate with data scientists and application engineers to develop scalable AI-driven solutions

Knowledge and Skills:

• Deep understanding of modern data architectures incorporating AI/ML components such as Snowflake, dbt, and Databricks
• Expertise in SQL, Python and related tools
• Experience with RAG frameworks, knowledge base construction, and vector store technologies and their applications in AI solutions
• Experience with automation of quasi-experimental design techniques, such as A/B testing, to measure solution impact
• Experience with data cleaning, tagging, and annotation processes
• Deep understanding of data privacy standards and ethics

Education and Experience:

• Bachelor's degree in mathematics, computer science, or a related field; advanced degree is a plus
• Typically requires 5+ years of experience in data engineering, preferably in AI/ML contexts, or a related field or the equivalent combination of education and experience

Pay Range:

Disclosure Statement:

Flex Designation:

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.

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