Associate Director, AI Development Lead
Jazz Pharmaceuticals
August 13, 2026
Remote friendly (Philadelphia, PA)
United States
IT
Brief Description
The Associate Director, AI Development Lead is responsible for advancing Jazz’s enterprise AI capability and driving measurable business value through AI and machine learning. Reporting to the Director, Enterprise AI, the role designs systems, writes production-quality code, reviews colleagues’ work, and leads a small team of AI developers across traditional ML and Generative AI.
Essential Functions/Responsibilities
- Build and ship end-to-end ML solutions (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
- Design and ship end-to-end GenAI solutions (RAG, agentic workflows, vector stores, foundation model API integrations).
- Write production-quality code (Python or related languages/frameworks); ensure readability, modularity, scalability, performance, maintainability.
- Design/review secure, reusable GenAI/AI-ML architectures in line with architectural standards.
- Debug, profile, and optimize cost, latency, accuracy, reliability.
- Support deployment/post-deployment operations (CI/CD, observability, monitoring, drift detection, incident response).
- Establish/refine development standards (reference architectures, patterns, coding conventions, evaluation methods, reusable components).
- Lead and mentor a small AI development team; be accountable for quality/outcomes.
- Plan delivery with stakeholders; balance scope, risk, timelines.
- Recruit/onboard/grow AI talent.
- Advise technical and non-technical teams on responsible/ethical AI and human-in-the-loop review.
- Evaluate use cases for feasibility, data readiness, value, and risk; prioritize AI initiatives.
- Vet AI vendors/platforms; support build-vs-buy decisions.
- Partner on enterprise AI strategy (operating model, governance, stack, best practices, policies).
- Apply Responsible AI practices (explainability, evaluation, privacy, security, risk management).
- Collaborate with Data Engineering, Enterprise Architecture, Infrastructure, InfoSec, and Compliance.
Required Knowledge, Skills, and Abilities
- Lead/mentor and be accountable for technical work; lead offshore/nearshore teams.
- Hands-on depth shipping ML/GenAI to production; production-quality coding and AI/ML architecture.
- Strong ML/statistical modeling and evaluation; cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
- Generative AI concepts (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Familiarity with AI governance/risk; excellent communication.
Required/Preferred Education and Licenses
- Bachelor’s degree or equivalent technical/quantitative experience (advanced degree preferred).
- 5–7 years relevant experience required (10+ preferred).
- Pharmaceutical/life sciences or regulated-industry experience strongly preferred.
- Experience evaluating/integrating third-party AI/ML solutions strongly preferred.
The Associate Director, AI Development Lead is responsible for advancing Jazz’s enterprise AI capability and driving measurable business value through AI and machine learning. Reporting to the Director, Enterprise AI, the role designs systems, writes production-quality code, reviews colleagues’ work, and leads a small team of AI developers across traditional ML and Generative AI.
Essential Functions/Responsibilities
- Build and ship end-to-end ML solutions (data ingestion, feature engineering, training, evaluation, deployment, monitoring).
- Design and ship end-to-end GenAI solutions (RAG, agentic workflows, vector stores, foundation model API integrations).
- Write production-quality code (Python or related languages/frameworks); ensure readability, modularity, scalability, performance, maintainability.
- Design/review secure, reusable GenAI/AI-ML architectures in line with architectural standards.
- Debug, profile, and optimize cost, latency, accuracy, reliability.
- Support deployment/post-deployment operations (CI/CD, observability, monitoring, drift detection, incident response).
- Establish/refine development standards (reference architectures, patterns, coding conventions, evaluation methods, reusable components).
- Lead and mentor a small AI development team; be accountable for quality/outcomes.
- Plan delivery with stakeholders; balance scope, risk, timelines.
- Recruit/onboard/grow AI talent.
- Advise technical and non-technical teams on responsible/ethical AI and human-in-the-loop review.
- Evaluate use cases for feasibility, data readiness, value, and risk; prioritize AI initiatives.
- Vet AI vendors/platforms; support build-vs-buy decisions.
- Partner on enterprise AI strategy (operating model, governance, stack, best practices, policies).
- Apply Responsible AI practices (explainability, evaluation, privacy, security, risk management).
- Collaborate with Data Engineering, Enterprise Architecture, Infrastructure, InfoSec, and Compliance.
Required Knowledge, Skills, and Abilities
- Lead/mentor and be accountable for technical work; lead offshore/nearshore teams.
- Hands-on depth shipping ML/GenAI to production; production-quality coding and AI/ML architecture.
- Strong ML/statistical modeling and evaluation; cloud experience (AWS/GCP/Azure; AWS or GCP preferred).
- Generative AI concepts (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Familiarity with AI governance/risk; excellent communication.
Required/Preferred Education and Licenses
- Bachelor’s degree or equivalent technical/quantitative experience (advanced degree preferred).
- 5–7 years relevant experience required (10+ preferred).
- Pharmaceutical/life sciences or regulated-industry experience strongly preferred.
- Experience evaluating/integrating third-party AI/ML solutions strongly preferred.