Principal Applied AI Engineer

AbbVie

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$124,500–$236,500 / yr
Posted
72 days ago
Freshness
Confirmed live yesterday
Closes
Jul 1, 2126

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $180k
$110k most similar roles pay here $261k

This role pays less than 63% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $180k versus about $204k 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 Applied AI Engineer

The Principal Applied AI Engineer joins the Operations Transformation group to design, develop, and implement machine learning solutions that drive innovation across manufacturing, supply chain, and quality operations. Serving as a translator between technical programming teams and functional business leaders, this individual will identify opportunities for predictive maintenance, process optimization, and quality monitoring. The role involves mapping business processes, defining success metrics, and partnering with data science and engineering teams to select appropriate algorithms and tools. Key responsibilities include integrating AI models into operational platforms such as MES, SCADA, ERP, and IoT systems while ensuring compliance with GxP and FDA requirements. Candidates must possess expertise in AI/ML concepts, project management, and experience navigating pharmaceutical manufacturing environments. The role focuses on solving complex operational challenges through intelligent process automation and advanced analytics within a regulated production environment.

What you'll do

  • Design and implement AI and machine learning solutions for manufacturing, supply chain, and quality operations.
  • Translate operational requirements into technical AI/ML problem statements and success metrics.
  • Analyze current business processes to identify inefficiencies and opportunities for AI-enabled improvements.
  • Partner with engineering and IT teams to select algorithms and integrate models into systems like MES, SCADA, and ERP.
  • Manage the full lifecycle of vendor selection and technical proof of concept for prioritized use cases.
  • Establish documentation, testing, and monitoring practices to ensure solutions are compliant with GxP and FDA regulations.
  • Lead change management and training to facilitate the adoption of AI capabilities across operations.

What we're looking for

  • Bachelor’s or Master’s degree in Business, Operations, Computer Science, Data Science, Engineering, or a related field.
  • An advanced degree is preferred.
  • 5+ years of experience building and deploying AI/ML solutions, preferably in manufacturing, supply chain, or quality environments.
  • Strong understanding of AI and machine learning concepts applied to solve operational or business problems.
  • Experience integrating AI/ML models into operational or IT systems such as MES, SCADA, IoT, ERP, or cloud platforms.
  • Strong problem-solving, project management, and communication skills.
  • Familiarity with GxP, FDA, and data privacy requirements is a plus.

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