Principal Enterprise Architect, AI Platform

Location: Hybrid (Two days in-office)

Overview

The Principal Enterprise Architect for the AI Platform is a high‑impact leadership role responsible for setting the strategic technical vision of our foundational AI and Machine Learning systems. This leader defines the "golden paths" for AI development to ensure our platform is secure, scalable, governed, and aligned with the delivery of GenAI, RAG, and Agentic AI solutions.

Responsibilities

- Shape AI Strategy: Develop target state and reference architectures for the AI/ML Platform, aligning technical roadmaps with long‑term business goals.
- Establish AI Governance: Lead the codification of guardrails for the GenAI ecosystem, focusing on LLM observability, safety, prompt management, and cost awareness.
- Define Platform Standards: Deliver "golden paths" and reusable frameworks (e.g., multi‑agent frameworks like LangChain/LangGraph) to improve developer productivity for AI use cases.
- Modernize Model Lifecycles: Standardize LLMOps and MLOps patterns using model gateways and automated pipelines (Vertex AI, Composer) to ensure governed, self‑service access.
- Evaluate Emerging Tech: Lead build, buy, partner analyses for cutting‑edge AI tools, including vector stores, evaluation frameworks (Arize, LangSmith), and distributed computing concepts.
- Influence & Mentor: Act as a strategic partner to senior leadership while coaching Principal and Staff engineers to elevate architectural practices across the organization.

Qualifications

- Strategic Architect: Extensive enterprise architecture experience, especially cloud‑native distributed systems on GCP.
- Technical Visionary: Deep understanding of modern AI patterns, including RAG pipelines, agentic frameworks,



and integration of large‑scale data systems like BigQuery and Kafka.
- Collaborative Leader: Skilled at bridging business intent and complex technical execution, influencing stakeholders across Product, Finance, and Engineering.
- Pragmatic Problem Solver: Balances rapid AI innovation with enterprise‑grade security, reliability, and cost‑efficiency requirements.
- Experienced Professional: 12+ years in software engineering and architecture, with at least 5 years focused on AI/ML or Data platforms at scale.
- Values‑Driven: Demonstrated history of living the values of Customer, Innovation, Team, Accountability, and Trust.

Preferred Qualifications

- Advanced Expertise: Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- Cloud Proficiency: Deep experience with GCP’s AI stack (Vertex AI, GKE, Dataflow) or equivalent enterprise‑grade cloud AI services.
- Industry Context: Experience in FinTech or high‑volume e‑commerce environments where AI drives real‑time search, ranking, or pricing.

Compensation

Salary range: $150,000–$175,000 CAD. The role may qualify for an annual bonus and/or equity grant.

Benefits

- Health & wellness coverage: medical, dental, vision, and mental health resources.
- Generous time off: PTO, holidays, company‑wide Priceline Pause reset week, paid volunteer days.
- Work‑life support: remote work flexibility, up to 4 weeks per year from anywhere, parental leave, dependent care, family support.
- Financial security programs: retirement plans with company contributions, life and disability coverage, tax‑advantaged accounts.
- Signature travel perks: employee‑only discounts on hotels and flights, VIP deals, and travel credits.
- Additional perks: tuition support, legal support, pet advantages, and access to employee resource groups and social events.

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📌 Principal Enterprise Architect, AI Platform (Toronto)
🏢 Priceline.com
📍 Toronto