below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$191,826–$246,800
— the blue band above.
At the midpoint, this role pays about
$205k
versus about
$219k
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
145 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 140 roles with salary data.
The Principal AI Engineer II serves as a discipline expert and technology leader responsible for defining the strategy, architecture, and engineering practices for artificial intelligence solutions across the organization. This role involves architecting and building secure, scalable AI platforms, services, and developer tools while leading production-grade solutions from initial prototyping through deployment and monitoring. The engineer will integrate these platforms with AWS services and enterprise data environments while ensuring compliance with GxP, data integrity, and cybersecurity standards. Key technical requirements include expertise in AI/platform engineering, cloud engineering, containerization, CI/CD, and MLOps. The position addresses the technical challenge of scaling production-grade AI systems within a regulated pharmaceutical, biotechnology, or life sciences environment, requiring a focus on risk-based approaches to responsible AI and model validation.
What does a AI Engineer earn?
Median $211200 from 139 postings across 39 companies.
Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with business objectives.
Architect and build secure, scalable, and reusable AI platforms, services, and developer tools.
Lead production-grade AI solutions from initial prototyping through deployment, monitoring, and retirement.
Integrate AI platforms with AWS services and enterprise data, security, and infrastructure environments.
Establish practices for evaluation, testing, versioning, release management, and performance monitoring.
Apply risk-based approaches to compliance, GxP, data integrity, privacy, and cybersecurity.
Evaluate emerging technologies and lead innovation efforts to create sustainable production capabilities.
Mentor engineers and promote knowledge sharing to advance engineering maturity across the organization.
What we're looking for
Bachelor’s degree with 9 years’ experience, Master’s degree with 8 years’ experience, or PhD with 4 years’ in a related technical discipline.
Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems.
Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions.
Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services.
Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support.
Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences.
Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations.
Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements.
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