Principal AI Engineer II

AbbVie•North Chicago, IL

4d•$141,500 - $268,500

About The Position

As 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.

Requirements

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.

Nice To Haves

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.

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.