Associate Director, Enterprise AI Architect
Jazz Pharmaceuticals
June 30, 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 IC) responsible for maturing and leading Jazz’s AI/ML architecture capability, reporting to the Director of Enterprise AI.
Responsibilities
- Define and continuously enhance enterprise AI/ML architecture strategy (stack, operating models, governance, best practices, policies/guardrails).
- Establish AI architectural standards and reference architectures for consistency, scalability, and security.
- Implement AI governance and guardrails for responsible AI use, model validation, risk management, and regulatory compliance.
- Drive adoption of responsible AI practices (explainability, bias mitigation, data privacy).
- Provide architectural oversight and technical guidance for AI/ML solution design and integration.
- Run architectural reviews across end-to-end AI/ML solutions (data ingestion through deployment, monitoring, and MLOps).
- Serve as AI/ML architecture SME; evaluate/design AI/ML and Generative AI solutions.
- Vet AI vendors/platforms via technical due diligence (feasibility, data handling, security, transparency, operational maturity).
Required/Preferred Skills & Qualifications
- Strong communication; AI governance/risk framework familiarity.
- Deep AI/ML architecture knowledge (pipelines, deployment patterns, enterprise integration).
- MLOps proficiency (CI/CD, versioning, experiment tracking, monitoring).
- ML/statistical modeling, evaluation, and deployment considerations.
- Programming: Python/R; frameworks: TensorFlow/PyTorch/scikit-learn.
- Generative AI: LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails.
- Hands-on cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
- Education: Bachelor’s (quantitative/technical) required; advanced degree preferred.
- Experience: 5–7 years required (10+ preferred) in AI/ML/data science.
- Strongly preferred: regulated industry (pharma/life sciences) and third-party AI/ML vendor integration.
Benefits (US candidates only, if eligible)
- Potential bonus/incentive and discretionary equity; medical/dental/vision, 401(k), flexible paid vacation.
Brief Description
Associate Director, Enterprise AI Architect (senior IC) responsible for maturing and leading Jazz’s AI/ML architecture capability, reporting to the Director of Enterprise AI.
Responsibilities
- Define and continuously enhance enterprise AI/ML architecture strategy (stack, operating models, governance, best practices, policies/guardrails).
- Establish AI architectural standards and reference architectures for consistency, scalability, and security.
- Implement AI governance and guardrails for responsible AI use, model validation, risk management, and regulatory compliance.
- Drive adoption of responsible AI practices (explainability, bias mitigation, data privacy).
- Provide architectural oversight and technical guidance for AI/ML solution design and integration.
- Run architectural reviews across end-to-end AI/ML solutions (data ingestion through deployment, monitoring, and MLOps).
- Serve as AI/ML architecture SME; evaluate/design AI/ML and Generative AI solutions.
- Vet AI vendors/platforms via technical due diligence (feasibility, data handling, security, transparency, operational maturity).
Required/Preferred Skills & Qualifications
- Strong communication; AI governance/risk framework familiarity.
- Deep AI/ML architecture knowledge (pipelines, deployment patterns, enterprise integration).
- MLOps proficiency (CI/CD, versioning, experiment tracking, monitoring).
- ML/statistical modeling, evaluation, and deployment considerations.
- Programming: Python/R; frameworks: TensorFlow/PyTorch/scikit-learn.
- Generative AI: LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails.
- Hands-on cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
- Education: Bachelor’s (quantitative/technical) required; advanced degree preferred.
- Experience: 5–7 years required (10+ preferred) in AI/ML/data science.
- Strongly preferred: regulated industry (pharma/life sciences) and third-party AI/ML vendor integration.
Benefits (US candidates only, if eligible)
- Potential bonus/incentive and discretionary equity; medical/dental/vision, 401(k), flexible paid vacation.