Associate Director, AI Development Lead
Jazz Pharmaceuticals
June 30, 2026
Remote friendly (Philadelphia, PA)
United States
IT
Brief Description:
The Associate Director, AI Development Lead is a strategic technical leader responsible for advancing Jazz Pharmaceuticals' enterprise AI capability and driving measurable business value through AI/ML and Generative AI. Reporting to the Director, Enterprise AI, this role designs systems, writes production-quality code, reviews colleagues’ work, and leads a small team of AI developers across traditional ML and GenAI.
Essential Functions/Responsibilities:
- Build and ship end-to-end ML solutions (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) with focus on readability, modularity, scalability, performance, and maintainability.
- Design/review secure, reusable GenAI/AI-ML architectures aligned to enterprise standards.
- Debug, profile, and optimize solutions (cost, latency, accuracy, reliability).
- Support deployment and post-deployment operations (CI/CD, observability, monitoring, drift detection, incident response).
- Establish/refine technical standards (reference architectures, patterns, conventions, evaluation methods, reusable components).
- Lead and mentor a small team; be accountable for solution and delivery quality.
- Plan delivery with stakeholders; recruit/onboard/grow AI talent.
- Advise teams (including non-technical) on how AI works, human-in-the-loop review, and responsible/ethical adoption.
- Evaluate use cases for feasibility, data readiness, value, and risk; prioritize initiatives.
- Vet AI vendors/platforms; support build-vs-buy decisions.
- Partner to shape/execute enterprise AI strategy (operating model, governance, stack, best practices, policies).
- Define/apply Responsible AI practices; collaborate to meet enterprise standards.
Required Knowledge, Skills, and Abilities:
- Lead/mentor and be accountable for others’ technical work; experience leading offshore/nearshore teams.
- Hands-on depth shipping ML/GenAI to production; strong coding and AI/ML architecture skills.
- Knowledge of ML/statistical modeling, evaluation, and real-world deployment.
- Proficiency in Python or R; ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong GenAI knowledge (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Cloud experience (AWS/GCP/Azure; AWS or GCP preferred); familiarity with AI governance/risk.
- Excellent communication skills.
Education/Licenses:
- Bachelor’s degree or equivalent practical experience (quantitative/technical); advanced degree preferred.
- 5–7 years relevant AI/ML/data science required (10+ preferred).
- Pharmaceutical/life sciences or other regulated industry strongly preferred.
- Experience evaluating/integrating third-party AI/ML solutions and vendors strongly preferred.
The Associate Director, AI Development Lead is a strategic technical leader responsible for advancing Jazz Pharmaceuticals' enterprise AI capability and driving measurable business value through AI/ML and Generative AI. Reporting to the Director, Enterprise AI, this role designs systems, writes production-quality code, reviews colleagues’ work, and leads a small team of AI developers across traditional ML and GenAI.
Essential Functions/Responsibilities:
- Build and ship end-to-end ML solutions (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) with focus on readability, modularity, scalability, performance, and maintainability.
- Design/review secure, reusable GenAI/AI-ML architectures aligned to enterprise standards.
- Debug, profile, and optimize solutions (cost, latency, accuracy, reliability).
- Support deployment and post-deployment operations (CI/CD, observability, monitoring, drift detection, incident response).
- Establish/refine technical standards (reference architectures, patterns, conventions, evaluation methods, reusable components).
- Lead and mentor a small team; be accountable for solution and delivery quality.
- Plan delivery with stakeholders; recruit/onboard/grow AI talent.
- Advise teams (including non-technical) on how AI works, human-in-the-loop review, and responsible/ethical adoption.
- Evaluate use cases for feasibility, data readiness, value, and risk; prioritize initiatives.
- Vet AI vendors/platforms; support build-vs-buy decisions.
- Partner to shape/execute enterprise AI strategy (operating model, governance, stack, best practices, policies).
- Define/apply Responsible AI practices; collaborate to meet enterprise standards.
Required Knowledge, Skills, and Abilities:
- Lead/mentor and be accountable for others’ technical work; experience leading offshore/nearshore teams.
- Hands-on depth shipping ML/GenAI to production; strong coding and AI/ML architecture skills.
- Knowledge of ML/statistical modeling, evaluation, and real-world deployment.
- Proficiency in Python or R; ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Strong GenAI knowledge (LLMs, RAG, fine-tuning, agentic patterns, evaluation, guardrails).
- Cloud experience (AWS/GCP/Azure; AWS or GCP preferred); familiarity with AI governance/risk.
- Excellent communication skills.
Education/Licenses:
- Bachelor’s degree or equivalent practical experience (quantitative/technical); advanced degree preferred.
- 5–7 years relevant AI/ML/data science required (10+ preferred).
- Pharmaceutical/life sciences or other regulated industry strongly preferred.
- Experience evaluating/integrating third-party AI/ML solutions and vendors strongly preferred.