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Principal Enterprise Architect, AI Platform
Priceline
Toronto, CAN
Full Time
Lead
Hybrid
1 weeks ago
Enterprise ArchitectureAI/ML PlatformsCloud native Distributed SystemsGCP AI Stack (Vertex AI, GKE, Dataflow)RAG PipelinesAgentic Frameworks (LangChain/LangGraph)
Free
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Enterprise ArchitectureAI/ML PlatformsCloud native Distributed Systems
About the Role
Priceline seeks a Principal Enterprise Architect for the AI Platform to define the strategic technical vision for AI/ML systems. You will shape AI strategy, establish governance, define platform standards, and modernize model lifecycles.
Key Skills for This Role
Enterprise ArchitectureAI/ML PlatformsCloud native Distributed SystemsGCP AI Stack (Vertex AI, GKE, Dataflow)RAG PipelinesAgentic Frameworks (LangChain/LangGraph)
Responsibilities
- Shape AI Strategy: Develop target state and reference architectures for the AI/ML Platform
- Establish AI Governance: Lead codification of guardrails for the GenAI ecosystem
- Define Platform Standards: Deliver golden paths and reusable frameworks for AI development
- Modernize Model Lifecycles: Standardize LLMOps and MLOps patterns using model gateways and automated pipelines
- Evaluate Emerging Tech: Lead build/buy/partner analyses for cutting edge AI tools
- Influence & Mentor: Act as strategic partner to senior leadership and coach engineers
Requirements
- 12+ years of experience in software engineering and architecture
- At least 5 years focused on AI/ML or Data platforms at scale
- Extensive experience in enterprise architecture within cloud native distributed systems (GCP preferred)
- Deep understanding of modern AI patterns including RAG pipelines, agentic frameworks, and large scale data systems
Full Job Posting
At a Glance
- The Principal Enterprise Architect for the AI Platform is a high impact leadership role responsible for the strategic technical vision of our foundational AI and Machine Learning systems.
- This leader will define the 'golden paths' for AI development, ensuring our platform is secure, scalable, and governed while accelerating the delivery of GenAI, RAG, and Agentic AI solutions across the enterprise.
In This Role, You Will Get To
- Shape AI Strategy: Develop the target state and reference architectures for the AI/ML Platform, aligning technical roadmaps with long term business goals like personalization and intelligent automation.
- 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.
Who You Are
- Strategic Architect: You possess extensive experience in enterprise architecture, specifically within cloud native distributed systems (GCP preferred) and high scale AI/ML platforms.
- Technical Visionary: You have a deep understanding of modern AI patterns, including RAG pipelines, agentic frameworks, and the integration of large scale data systems like BigQuery and Kafka.
- Collaborative Leader: You excel at bridging the gap between business intent and complex technical execution, influencing stakeholders across Product, Finance, and Engineering.
- Pragmatic Problem Solver: You are skilled at balancing the need for rapid AI innovation with the rigor required for enterprise grade security, reliability, and cost efficiency.
- Experienced Professional: You typically bring 12+ years of experience in software engineering and architecture, with at least 5 years focused on AI/ML or Data platforms at scale.
- Values Driven: You have an illustrated history of living the values of Customer, Innovation, Team, Accountability, and Trust.
Preferred Qualifications
- Advanced Expertise: Masters or PhD 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.
Salary Range
- The salary range for this position is CAD 150,000 175,000 CAD.
Location
- Hybrid (Two days in office)
Who We Are
- Priceline is part of the Booking Holdings, Inc. family of companies.
- We are on the cutting edge of innovative technologies and keep the customer at the center.
Perks & Benefits
- Health & wellness coverage including medical, dental, vision, and mental health resources.
- Generous time off including PTO, holidays, a company wide Priceline Pause reset week, and paid volunteer days.
- Work/life support including ability to work up to 4 weeks per year from anywhere, parental leave, and Summer Fridays.
- Financial security programs such as retirement plans with company contributions, life and disability coverage.
- Signature travel perks including employee only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits.
- Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits.
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