Principal Engineer, Quality - Automation and AI

AbbVie

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$109,500–$208,500 / yr
Posted
67 days ago
Freshness
Confirmed live 2 days ago
Closes
Jul 6, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $159k
$96k most similar roles pay here $236k

This role pays less than 68% of similar roles. Most pay $149,012–$215,700 — the shaded band above. At the midpoint, this role pays about $159k versus about $182k 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 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Principal Engineer, Quality - Automation and AI

Principal Engineer, Quality - Automation and AI leads efforts to ensure IT operations and software lifecycle processes comply with regulatory requirements and corporate standards. This role focuses on modernizing communication channels, metrics management, and Corrective and Preventive Action processes by integrating automation and AI-driven solutions. The individual will build automated dashboards, alerts, and reporting tools to provide actionable insights for audit readiness while managing risk and change management activities. Key responsibilities include providing expert mentorship on quality system automation, delivering training on digital enablement, and overseeing evidence management. Required skills include expertise in automation, pipeline technologies, workflow optimization, AI/ML solutions, and DevOps toolchain integration. The role addresses the challenge of maintaining compliance within a regulated software environment by leveraging advanced analytics to streamline quality assurance activities and ensure seamless cross-functional integration across various business units.

What you'll do

  • Implement AI-powered solutions and automation to enhance compliance monitoring and operational efficiency.
  • Integrate DevOps toolchains to simplify technology-process integration and support automated audit monitoring.
  • Modernize communication channels and automate Corrective and Preventive Action (CAPA) processes using AI tools.
  • Establish automated dashboards, alerts, and reporting systems to provide actionable insights for SLC monitoring.
  • Serve as the primary point of contact for quality events, including root cause analysis and issue tracking.
  • Manage internal and external audit readiness by overseeing documentation, evidence management, and remediation efforts.
  • Develop and deliver training on digital quality enablement, compliance monitoring, and automated reporting tools.
  • Analyze SQA metrics using automated data analytics to drive gap closure and executive reporting.

What we're looking for

  • Bachelor's degree with 7 years experience, Master's with 6 years, or PhD with 2 years.
  • Experience in at least two of the following: software development lifecycle, regulated environments, software quality, project management, auditing, or quality systems.
  • Strong experience in automation, pipeline technologies, workflow optimization, AI/ML solutions, and DevOps tool integration.
  • Demonstrated success in cross-functional process improvement, risk management, audit support, and CAPA execution.
  • Experience supporting regulatory audits and implementing quality monitoring solutions.
  • Advanced project management, analytical, and documentation skills with the ability to create training materials for diverse audiences.
  • Knowledge of Computer Software Assurance (CSA), digital transformation in quality, and contemporary validation practices.
  • Experience in life sciences, US regulations (GMP), ASQ certifications, or supervisory experience (preferred).

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