Data Engineer, AI Enablement

Company Description

About Abb Vie

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.

Abb Vie’s Business Technology Solutions (BTS) Information Research (IR) organization is seekinga

Data Engineer, AI Enablementto help deliver trusted, well-structured, AI-ready data products within ARCH, Abb Vie’s R&D Convergence Hub.

As part ofthe DELOSteam— Data Exploration and Linked Outcome Solutions —this role helps build the reliable data foundations needed to advance analytics, reporting, knowledge graph capabilities, machine learning, and AI-enabled use cases across R&D.

In this role, you will independently design, develop, andoperatescalable data pipelines and curated data products that make high-value research data easier to find, connect, understand, and use. The work spans data curation, normalization, modeling, metadata, lineage, quality controls, governance, documentation, and publication to the ARCH knowledge graph. Rather than developing AI models directly, you will ensure that data science, AI engineering, and research partners have the reliable, accessible, and appropriately governed data they need to deliver trusted outcomes.

Working closely with R&D stakeholders, data scientists, machine learning engineers, platform teams, architects, and data owners, you will help translate scientific and business needs into dependable data solutions. You will also help scale delivery byprovidingtechnical guidance tocontractedengineers supporting the same data products,translating requirements into clear work, reviewing outputs,helping remove barriers, and ensuring results meet agreed quality, documentation, and acceptance standards.

Under the direction of the Associate Director–Data Strategy, AI & Knowledge Enablement, thisrole is an opportunity to contribute at the center of Abb Vie’sR&D data transformation.

The data foundations you build will helpdeterminewhich analytics, knowledge graph, and AI use cases are possible across research — and howconfidentlythe organization canusetheir outputto support scientific decision-making.

• AI-Ready Data Product Engineering:Design, build, andoperatecurated, reusable data products that make high-value R&D data easier to find, connect, understand, and use. Collect, integrate, normalize, model, and transform data from databases, applications, APIs, licensed external sources, and other systems into ARCH and related data environments.
• Trusted Data Foundation Enablement:Establish reliable, scalable data foundations that support analytics, reporting, knowledge graph capabilities, machine learning, and AI-enabled use cases. Ensure data assets are structured, documented, accessible, governed, traceable, and fit for downstream consumption.
• AI, RAG & Knowledge Graph Readiness:Prepare data and documents for AI and knowledge discovery use cases by cleaning, standardizing, enriching, labeling, organizing metadata, supporting chunking,and embedding workflows, and producing vector database-ready assets. Enable publication of curated data to the ARCH knowledge graph.
• Data Quality, Governance & Documentation:Apply data quality and governance practices, including accuracy and completeness checks, metadata, lineage, access controls, privacy, license terms, assumptions, quality rules, and appropriate-use guidance so data…