Associate Director, Enterprise AI Architect
Jazz Pharmaceuticals
August 13, 2026
Remote friendly (Philadelphia, PA)
United States
IT
If you are a current Jazz employee please apply via the Internal Career site.
Brief Description
Associate Director, Enterprise AI Architect (senior individual contributor) responsible for maturing and leading Jazz’s AI/ML architecture capability. Focus on strategic architecture and solution design (not day-to-day model development) to ensure AI systems are scalable, secure, compliant, and aligned with business needs.
Responsibilities
- Define and continuously enhance the enterprise AI/ML architecture strategy (technology stack, operating models, governance, best practices, policies).
- Establish AI architectural standards and reference architectures for consistency, scalability, and security.
- Establish AI governance processes/guardrails for responsible AI use, model validation, risk management, and regulatory compliance.
- Drive responsible AI practices (explainability, bias mitigation, data privacy).
- Provide architectural oversight and technical guidance for AI/ML solution design and integration.
- Conduct architectural reviews across end-to-end AI/ML (data ingestion through deployment, monitoring, and MLOps).
- Serve as an SME/trusted advisor across technology teams.
- Evaluate/design AI/ML and Generative AI solutions; challenge assumptions to ensure reliable, maintainable, compliant outcomes.
- Vet AI vendors/platforms with AI Development Lead and security teams.
- Communicate complex architecture decisions and influence cross-functional governance.
Required Qualifications/Skills
- Bachelor’s degree (or equivalent); advanced degree preferred.
- 5–7 years relevant AI/ML/data science (10+ preferred).
- Strong communication; familiarity with AI governance/risk frameworks.
- Deep AI/ML architecture knowledge; MLOps (CI/CD, model versioning, experiment tracking, monitoring).
- ML algorithms/statistical modeling and deployment considerations.
- Programming (Python/R) and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Generative AI concepts (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Hands-on cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
Strongly/Preferred
- Pharmaceutical/life sciences or other regulated industry.
- Experience integrating third-party AI/ML solutions and vendors.
- Eligible for benefits including medical/dental/vision, 401k, and flexible paid vacation.
Brief Description
Associate Director, Enterprise AI Architect (senior individual contributor) responsible for maturing and leading Jazz’s AI/ML architecture capability. Focus on strategic architecture and solution design (not day-to-day model development) to ensure AI systems are scalable, secure, compliant, and aligned with business needs.
Responsibilities
- Define and continuously enhance the enterprise AI/ML architecture strategy (technology stack, operating models, governance, best practices, policies).
- Establish AI architectural standards and reference architectures for consistency, scalability, and security.
- Establish AI governance processes/guardrails for responsible AI use, model validation, risk management, and regulatory compliance.
- Drive responsible AI practices (explainability, bias mitigation, data privacy).
- Provide architectural oversight and technical guidance for AI/ML solution design and integration.
- Conduct architectural reviews across end-to-end AI/ML (data ingestion through deployment, monitoring, and MLOps).
- Serve as an SME/trusted advisor across technology teams.
- Evaluate/design AI/ML and Generative AI solutions; challenge assumptions to ensure reliable, maintainable, compliant outcomes.
- Vet AI vendors/platforms with AI Development Lead and security teams.
- Communicate complex architecture decisions and influence cross-functional governance.
Required Qualifications/Skills
- Bachelor’s degree (or equivalent); advanced degree preferred.
- 5–7 years relevant AI/ML/data science (10+ preferred).
- Strong communication; familiarity with AI governance/risk frameworks.
- Deep AI/ML architecture knowledge; MLOps (CI/CD, model versioning, experiment tracking, monitoring).
- ML algorithms/statistical modeling and deployment considerations.
- Programming (Python/R) and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Generative AI concepts (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Hands-on cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
Strongly/Preferred
- Pharmaceutical/life sciences or other regulated industry.
- Experience integrating third-party AI/ML solutions and vendors.
- Eligible for benefits including medical/dental/vision, 401k, and flexible paid vacation.