Principal Enterprise Architect, AI Platform at Priceline

Compensation

CA$150,000 – CA$175,000/yr

Setup: Hybrid
Type: Full-time
Level: not_specified

Description

The Principal Enterprise Architect for the AI Platform is a high-impact leadership role responsible for defining the strategic technical vision of foundational AI and Machine Learning systems. The architect will establish governance, define platform standards, modernize model lifecycles, evaluate emerging tech, and influence architectural practices across the organization. This role focuses on shaping AI strategy, leading AI governance, and building a world-class AI ecosystem.

Required Skills

enterprise architecture
cloud-native distributed systems
high-scale AI/ML platforms
modern AI patterns
RAG pipelines
agentic frameworks
large-scale data systems
BigQuery
Kafka

Additional Information

Required Previous Experiences: Extensive experience in enterprise architecture, specifically within cloud-native distributed systems (GCP preferred) and high-scale AI/ML platforms.
Deep understanding of modern AI patterns, including RAG pipelines, agentic frameworks, and the integration of large-scale data systems like BigQuery and Kafka.
Excellent at bridging the gap between business intent and complex technical execution, influencing stakeholders across Product, Finance, and Engineering.
Skilled at balancing the need for rapid AI innovation with the rigor required for enterprise-grade security, reliability, and cost-efficiency.
Typically brings 12+ years of experience in software engineering and architecture, with at least 5 years focused on AI/ML or Data platforms at scale.
Preferred Qualifications: Masters or PhD in Computer Science, Machine Learning, AI, or a related quantitative field.
Deep experience with GCP’s AI stack (Vertex AI, GKE, Dataflow) or equivalent enterprise-grade cloud AI services.
Experience in FinTech or high-volume e-commerce environments where AI drives real-time search, ranking, or pricing.