This role pays less than
81%
of similar roles. Most pay
$169,700–$227,500
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
313 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 286 roles with salary data.
The Principal Engineer, Digital Regulatory Assurance is responsible for ensuring that IT operations and software lifecycle processes comply with regulatory requirements and corporate standards within the life sciences domain. This techno-functional role involves leading the transition from traditional quality assurance to modern frameworks by implementing automation, AI-driven solutions, and DevOps best practices to optimize CI/CD pipelines. The individual will manage technology lifecycle monitoring, oversee incident management, and lead continuous improvement initiatives for software lifecycle processes. Key responsibilities include managing regulatory audits, performing root cause analysis, and developing automated dashboards for quality metrics. Required expertise includes proficiency in DevOps toolchains such as Jira, Confluence, qTest, Jenkins, GitLab, AWS, and Azure DevOps. The role also requires deep knowledge of Computer Software Assurance, risk management, and the ability to coach teams on complex policy interpretations and validation strategies.
What does a Engineer earn in Illinois?
Median $180500 from 32 postings across 7 companies.
Experience supporting regulatory audits and compliance with agencies like the FDA.
Strong skills in analytics, project management, process improvement, and cross-functional collaboration.
Knowledge of Computer Software Assurance (CSA), digital transformation in quality, and contemporary validation practices.
Ability to coach teams on policy, SLC execution, and regulatory requirements.
Professional certifications such as ASQ CQA, PMP, or Six Sigma (preferred); experience in life sciences (preferred); supervisory experience (preferred).
Python
PyTorch
JAX
C
C++
C#
Foundation Models
GPU Clusters
Fine-tuning
Instruction Tuning
reinforcement-learning
Mixed Precision
Model Evaluation
Tokenization
Machine Learning Systems
Experiment Tracking