AI Product Engineer Data
AI Product Engineer Data
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Job Description
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 sidebyside 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 documentbased 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 scienceready outputs using modern data platform tooling
- Employ strong testing and documentation techniques for traceability
- Collaborate with data scientists and application engineers to develop scalable AIdriven 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 quasiexperimental 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:
- Bachelors 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:
$148000 $222000Disclosure 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 jobrelated factors permitted by law.
At Vertex our Total Rewards offerings also include inclusive marketleading 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 weeklong 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:
HybridEligible Or OnSite EligibleFlex Eligibility Status:
In this HybridEligible role you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. OnSite: work five days per week onsite with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertexs 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 nondiscrimination for all employees and qualified applicants without regard to a persons 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 EVerify 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
Employment Type
Full-Time
