5 months ago
Toronto, CanadaStaff+
Responsibilities
- Develop target-state and reference architectures for the AI/ML platform aligned with long-term personalization and intelligent automation goals.
- Establish governance guardrails for the GenAI ecosystem, including LLM observability, safety, prompt management, and cost awareness.
- Define golden paths, reusable frameworks, and multi-agent patterns to improve developer productivity for AI use cases.
- Standardize LLMOps and MLOps patterns using model gateways and automated pipelines for governed, self-service access.
- Lead build, buy, and partner evaluations for vector stores, evaluation frameworks, and distributed-computing technologies.
- Partner with senior leadership and coach Principal and Staff engineers to improve architectural practices across the organization.
- Balance rapid AI innovation with enterprise-grade security, reliability, and cost efficiency.
Requirements
- Typically 12+ years of experience in software engineering and architecture.
- At least 5 years of experience focused on AI/ML or data platforms at scale.
- Extensive enterprise architecture experience with cloud-native distributed systems, preferably on GCP.
- Deep understanding of RAG pipelines, agentic frameworks, large-scale data systems, and modern AI platform patterns.
- Experience with GCP AI services and platforms such as Vertex AI, GKE, and Dataflow, or equivalent enterprise-grade cloud AI services.
- Experience with large-scale systems supporting real-time search, ranking, or pricing is preferred, particularly in FinTech or high-volume e-commerce.
- A Master’s or PhD in Computer Science, Machine Learning, AI, or a related quantitative field is preferred.
- Ability to connect business objectives with complex technical execution and influence Product, Finance, and Engineering stakeholders.
- Demonstrated history of living the company values of Customer, Innovation, Team, Accountability, and Trust.
Benefits
- Hybrid work model with two onsite days per week and remote or office flexibility on remaining days.
- Health and wellness coverage including medical, dental, vision, and mental health resources.
- Paid time off, holidays, a company-wide reset week, and paid volunteer days.
- Work-life support including up to four weeks of work from anywhere per year, parental leave, dependent care resources, Summer Fridays, stocked kitchens, and catered meals where available.
- Retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts.
- Employee travel discounts on hotels and flights, VIP deals, and Big Deal Bucks credits.
- Additional travel and partner discounts, tuition support, legal support, and pet benefits.
- Employee Resource Groups, social events, recognition programs, and service awards.
Tech Stack
Categories
About Priceline
Priceline operates an online travel booking platform where consumers reserve hotels, flights, rental cars, and vacation packages. Its business model combines merchant and agency arrangements, earning commissions and fees on travel reservations. Founded in 1998 and headquartered in Norwalk, Connecticut, Priceline is a brand within Booking Holdings Inc. (NASDAQ: BKNG).