Enterprise AI Architecture Lead

Biopharma Careers; Pennsylvania; On-site; USD 154,000 - 230,000; Full time

Job summary

Jazz Pharmaceuticals seeks an Associate Director, Enterprise AI Architect to mature the AI/ML architecture capability. You will partner with senior leadership to set strategy, select technology stacks, and establish standards and guardrails to ensure scalable, secure, and compliant AI solutions.

This role focuses on architecture and governance rather than model development, requiring strong communication, stakeholder management, and deep cloud/ML experience across AWS, GCP, or Azure, in a

Qualifications

• Bachelor’s degree in a quantitative/technical field required.
• 5–7 years of AI, ML, or data science experience; 10+ years preferred.
• Pharma or regulated industry experience strongly preferred.
• Strong communication and stakeholder management.
• Experience with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Define and evolve Jazz’s enterprise AI/ML architecture strategy.
• Establish AI standards, reference architectures, and governance.
• Oversee AI security, compliance, and risk management.
• Provide guidance on end-to-end AI/ML solution design.
• Vet AI vendors and perform technical due diligence.
• Communicate architecture decisions to leadership.

Skills

Communication skills

AI governance

AI architecture

Python/R

Cloud platforms

Generative AI

MLOps

Education

Bachelor’s degree in quantitative/technical field

Advanced degree preferred

Tools

TensorFlow

PyTorch

scikit-learn

CI/CD tooling

Job description

Jazz Pharmaceuticals seeks an Associate Director, Enterprise AI Architect to mature the AI/ML architecture capability. You will partner with senior leadership to set strategy, select technology stacks, and establish standards and guardrails to ensure scalable, secure, and compliant AI solutions.

This role focuses on architecture and governance rather than model development, requiring strong communication, stakeholder management, and deep cloud/ML experience across AWS, GCP, or Azure, in a