Senior AI Platform Architect - Scalable, Secure AI

ABBVIE; North Chicago (IL); On-site; USD 142,000 - 269,000; Full time

Job summary

AbbVie is seeking a Principal AI Engineer II to define and advance AI strategy, architecture, and engineering practices across the organization. You will lead production-grade AI solutions, architect scalable platforms, and ensure secure, compliant deployments integrated with AWS and enterprise environments.

The role demands experience in regulated life sciences, strong communication skills with senior leaders, and a track record of mentoring engineers and guiding cross-functional teams toward

Qualifications

• Production-scale AI/ML systems design, deployment, and operation experience.
• Experience with AWS services and enterprise data integration.
• Strong software engineering practices and secure design.
• Experience in regulated life sciences environments.

Responsibilities

• Define AI engineering strategy and roadmaps aligned with business objectives.
• Architect and build scalable AI platforms, services, and tools.
• Lead production-grade AI solutions from ideation to deployment and monitoring.
• Integrate AI platforms with AWS and enterprise data, security, and infra.
• Establish release management, observability, and incident response practices.
• Apply risk-based approaches to compliance, data integrity, privacy, cybersecurity and documentation.
• Partner with stakeholders to deliver fit-for-purpose solutions.
• Serve as trusted technical advisor and communicate across audiences.
• Evaluate emerging technologies and guide to production capabilities.
• Mentor engineers and represent AbbVie in technical communities.

Skills

AI engineering

Cloud engineering

Regulated environment experience

Mentoring/leadership

Cross-functional collaboration

Education

Bachelor’s degree

Master’s degree

PhD

Tools

AWS

CI/CD pipelines

Containerization (Docker/Kubernetes)

Job description

AbbVie is seeking a Principal AI Engineer II to define and advance AI strategy, architecture, and engineering practices across the organization. You will lead production-grade AI solutions, architect scalable platforms, and ensure secure, compliant deployments integrated with AWS and enterprise environments.

The role demands experience in regulated life sciences, strong communication skills with senior leaders, and a track record of mentoring engineers and guiding cross-functional teams toward