Senior Enterprise AI Architecture Lead

BioSpace

Philadelphia (Philadelphia County)

On-site

USD 180,000 - 205,000

Full time

9 days ago
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Job summary

Jazz Pharmaceuticals is seeking an Associate Director, Enterprise AI Architect to mature the AI/ML architecture capability. You will partner with senior leadership to shape a enterprise AI strategy, standards, and guardrails, while ensuring scalable, secure, and compliant AI systems aligned with business goals.

The role emphasizes architecture and solution design over hands-on model development, requiring strong communication and stakeholder management across technology and business teams.

Qualifications

  • Strong communication of AI concepts to business leaders at all levels.
  • Familiarity with AI governance and risk frameworks.
  • Deep knowledge of AI/ML system architecture, data pipelines, and deployment patterns.

Responsibilities

  • Define and enhance Jazz’s AI/ML architecture strategy with senior leadership.
  • Establish AI standards and reference architectures for scalability and security.
  • Maintain AI governance processes, guardrails, and compliance guidelines.
  • Promote responsible AI practices across the organization (explainability, bias mitigation, privacy).
  • Provide architectural oversight on AI/ML solution design and integration from data ingestion to deployment and monitoring.

Skills

Communication
AI governance
AI/ML architecture
MLOps
ML algorithms
Python/R
Generative AI
Cloud platforms (AWS/GCP/Azure)

Education

Bachelor’s degree
5–7 years AI experience (10+ preferred)
Experience in regulated industry
Third-party AI/ML solution evaluation

Job description

Jazz Pharmaceuticals is seeking an Associate Director, Enterprise AI Architect to mature the AI/ML architecture capability. You will partner with senior leadership to shape a enterprise AI strategy, standards, and guardrails, while ensuring scalable, secure, and compliant AI systems aligned with business goals.

The role emphasizes architecture and solution design over hands-on model development, requiring strong communication and stakeholder management across technology and business teams.

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