Principal Data Engineer, AI Enablement

AbbVie•North Chicago, IL

8h•$124,500 - $236,500•Onsite

About The Position

The Principal Data Engineer, AI Enablement will design, develop, and maintain data solutions that drive the advancement and enablement of our AI and machine learning use cases. In this role, you will collaborate closely with data engineers, data scientists, architects, and business analysts to advance the core data capabilities, deliver projects, foster technological innovation, and promote continuous improvement.

Requirements

Bachelor's Degree with 8 years of experience; OR Master's Degree with 7 years of experience; OR PhD with 3 years of related work experience and a strong understanding of specified functional area.
Must have experience with MLOps, LLM integration, Data Agents, Agentic Memory and Graph RAG systems, text mining, and unstructured data processing.
Experience designing and building data pipelines, ETL/ELT processes, and data models.
Proficiency with Python, SQL, and distributed data processing frameworks such as Spark.
Experience with CI/CD practices, data quality controls, governance, and security considerations.

Nice To Haves

Degree in Computer Science or related discipline preferred. Advanced degree preferred.
Experience with Neo4j & Elasticsearch database technologies is preferred.
AWS experience is preferred.

Responsibilities

Collaborate with a cross-functional team of engineers, architects, data scientists, business system analysts and product owners to understand requirements and deliver fit-for-purpose solutions.
Design, develop, and maintain scalable AI-ready data solutions for diverse data sets to support pharma value chain.
Design, develop, and maintain solutions involving the integration of LLMs (such as GPT or Claude or similar technologies) for data mining, knowledge extraction, and automation of data-driven insights.
Design, develop, and maintain solutions to operationalize machine learning models, including model deployment, monitoring, and lifecycle management.
Capture and interpret user requirements into expressive data models that enable graph analytics, semantic reasoning, and GenAI integration.
Research and recommend appropriate tools, frameworks, and platforms for graph databases, vector stores, and large language models integration including agent-based solutions.
Provide technical leadership, act as a subject matter expert and advisor to partners on the feasibility and impact of emerging technologies in the AI data space.
Ensure compliance with applicable AbbVie software development, lifecycle policies, and procedures.