3 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
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