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 DescriptionAs a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs.
Responsibilities:
- Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie’s business and technology objectives.
- Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption.
- Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement.
- Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments.
- Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support.
- Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI.
- Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions.
- Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences.
- Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities.
- Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements.
Required
- Bachelor’s degree with 9 years’ experience, Master’s degree with 8 years’ experience, or PhD with 4 years’ in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or 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.
- Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries.
- Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators.
- Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact.
Preferred
- Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management.
- Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code.
- Open-source contributions or technical thought leadership through publications, patents, or industry working groups.
- Experience leading cross-functional product development from feasibility through validation and production implementation.
- Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable 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.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Skills Required
- Bachelor's degree with 9 years of experience, master's degree with 8 years, or PhD with 4 years in computer science, artificial intelligence, machine learning, data science, engineering, or a related technical discipline
- Experience designing, deploying, and operating production-scale AI and machine learning systems
- Experience in AI and platform engineering, including scalable platforms, reusable components, and production-grade AI solutions
- 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
- Understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements
- Ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries
- Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators
- Innovation and mentoring experience, including advancing engineering practices and delivering measurable impact
- Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management
- Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code
- Open-source contributions or technical thought leadership through publications, patents, or industry working groups
- Experience leading cross-functional product development from feasibility through validation and production implementation
- Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
