Director,AI/MLPlatformEngineering

This role is eligible for our hybrid work model: Two days in-office. This job posting is for an existing, currently vacant position. **Director, AI/ML Platform Engineering** Our AI/ML Platform team is where intelligent systems get built at scale. We're building the foundational infrastructure that powers machine learning across Priceline—from LLM integrations and agentic workflows to MLOps pipelines and model serving platforms. We enable data scientists and engineers to move from experimentation to production faster, while ensuring governance, observability, and cost efficiency. If you thrive in a fast-paced, innovation-driven environment where platform engineering meets cutting-edge AI, you're in the right place. **Why This Job 's a Big Deal** AI and machine learning are transforming how Priceline delivers personalized experiences, optimizes operations, and drives business value. This role 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. From MLOps tooling and feature stores to LLM infrastructure and Model Context Protocol (MCP) integrations, you'll architect the systems that empower teams to build, deploy, and scale AI-driven products safely and efficiently. **In This Role You Will Get To** * Define and execute the technical strategy for Priceline's AI/ML Platform—encompassing MLOps, model serving, feature engineering, experimentation, LLM orchestration, and agentic AI workflows. * Lead multiple global engineering teams building highly available, scalable ML infrastructure that serves hundreds of models and supports diverse use cases from personalization to fraud detection. * Architect and evolve MLOps pipelines for the full ML lifecycle: data versioning, feature stores, model training, evaluation, deployment, monitoring, and retraining automation. * Build and scale LLM infrastructure including prompt management, retrieval-