Principal Data Engineer, AI Enablement

SmartRecruiters, Inc.; North Chicago (IL); On-site; USD 125,000 - 237,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k) plan

Long-term incentive programs

Job summary

AbbVie in North Chicago seeks a Principal Data Engineer, AI Enablement, to design, develop, and maintain data solutions that advance our AI and ML use cases across the pharma value chain.

You will collaborate with data engineers, data scientists, architects, and business analysts to deliver scalable data pipelines, deploy ML models, and integrate LLMs for data mining, knowledge extraction, and automation of insights.

Qualifications

• Must have advanced degree relevant to data engineering and AI enablement.
• Experience with building data pipelines, ETL/ELT processes, and data models.
• Proficiency in Python, SQL, and distributed data processing like Spark.
• Experience with CI/CD, data quality controls, governance, and security.

Responsibilities

• Collaborate with cross-functional team to deliver fit-for-purpose data solutions.
• Design, develop, and maintain scalable AI-ready data solutions for pharma data.
• Integrate LLMs and AI tools for data mining and knowledge extraction.
• Operationalize ML models with deployment, monitoring, and lifecycle management.
• Translate user needs into expressive data models enabling graph analytics.

Skills

MLOps

LLM Integration

Data Agents

Agentic Memory

Graph RAG

Text Mining

Unstructured Data

Python

SQL

Spark

CI/CD

Governance

Security

Education

Bachelor's Degree

Master's Degree

PhD

Tools

Neo4j

Elasticsearch

AWS

Job description

• Compensation: USD 124,500 - USD 236,500 - yearly

Company Description

About AbbVie

AbbVie'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 AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

Job Description

The PrincipalData Engineer, AI Enablement will design, develop, andmaintaindata 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.

Responsibilities:

• Collaborate with a cross-functional team of engineers, architects, data scientists, business systemanalystsand product owners to understand requirements and deliver fit-for-purpose solutions.
• Design, develop, andmaintainscalable AI-ready data solutions for diverse data sets to support pharma valuechain.
• Design, develop, andmaintainsolutions 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, andmaintainsolutions 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 recommendappropriate tools, frameworks, and platforms for graph databases, vector stores, and large languagemodelsintegration including agent-based solutions.
• Provide technical leadership, act asa 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.

Qualifications

Required:

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

Preferred:

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

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.