About the Role

The Director, AI/ML Platform Engineering leads the engineering vision and execution for Priceline's AI/ML Platform, the unified infrastructure that enables model development, deployment, orchestration, and productionization at scale. The role defines and executes the technical strategy for MLOps, model serving, feature engineering, experimentation, LLM orchestration, and agentic AI workflows. It is a hybrid work model: two days in-office.

Responsibilities

• Define and execute the technical strategy for the AI/ML Platform.
• Lead multiple global engineering teams building highly available, scalable ML infrastructure serving hundreds of models.
• Architect and evolve end‑to‑end MLOps pipelines including data versioning, feature stores, model training, evaluation, deployment, monitoring, and retraining automation.
• Build and scale LLM infrastructure for prompt management, retrieval‑augmented generation, fine‑tuning pip...