Principal Enterprise Architect, AI Platform

About the role

Priceline's Technology team is looking for a Principal Enterprise Architect for its AI Platform, a high-impact leadership role defining the strategic technical vision of the foundational AI and machine learning systems. The architect sets the "golden paths" for AI development so the platform is secure, scalable and governed, while accelerating GenAI, RAG and Agentic AI solutions across the enterprise. The role is eligible for a hybrid model with two days in the office.

Key responsibilities

• Shape AI strategy: develop the target state and reference architectures for the AI/ML platform, aligning roadmaps with business goals such as personalization and intelligent automation.
• Establish AI governance: codify guardrails for the GenAI ecosystem, covering LLM observability, safety, prompt management and cost awareness.
• Define platform standards: deliver golden paths and reusable frameworks, such as multi-agent frameworks like LangChain/LangGraph, to improve developer productivity.
• Modernize model lifecycles: standardize LLMOps and MLOps patterns using model gateways and automated pipelines (Vertex AI, Composer).
• Evaluate emerging tech: lead build/buy/partner analyses for tools such as vector stores, evaluation frameworks (Arize, LangSmith) and distributed computing concepts.
• Influence and mentor: act as a strategic partner to senior leadership and coach Principal and Staff engineers on architectural practices.

Required profile

• Extensive experience in enterprise architecture, especially cloud-native distributed systems (GCP preferred) and high-scale AI/ML platforms.
• Deep understanding of modern AI patterns, including RAG pipelines, agentic frameworks and large-scale data systems such as BigQuery and Kafka.
• Ability to bridge business intent and technical execution, influencing Product, Finance and Engineering stakeholders.
• Typically 12+ years in software engineering and architecture, with at least 5 years focused on AI/ML or data platforms at scale.
• Preferred: a Master's or PhD in a quantitative field, deep GCP AI stack experience, and FinTech or high-volume e-commerce experience.

What we offer

• Salary range of $150,000-$175,000 CAD, with possible annual bonus and/or equity grant.
• Hybrid work with two days in the office, chosen by the candidate and manager.
• Health, dental, vision and mental health coverage, generous time off, work-from-anywhere option up to 4 weeks per year, parental leave and retirement plans.
• Travel discounts, tuition support, legal support and other perks.