What is the opportunity? As Lead Data and AI Architect, you will collaborate closely with the Director, AI and Technology Strategy, TEO, to design and implement TEO's integrated AI and data strategy. The AI and Technology Strategy team holds primary accountability for driving the adoption and value creation of data and AI across TEO, in partnership with RBC's IT groups, including Global Functions IT, Payment IT, Borealis, and Lumina.
What will you do? Define target-state architecture for enterprise AI platforms and AI-enabled business solutions aligned with TEO strategy; establish architecture principles, standards, and reference patterns for AI, GenAI, data, and agentic systems.
Develop reusable architecture blueprints via Athena process and drive the design and evolution of enterprise AI platforms and shared capabilities supporting TEO's operational needs.
Design solution architectures supporting machine learning, GenAI, and agentic AI solutions; define patterns for data ingestion, knowledge retrieval, vector stores, APIs, metadata management, and data products.
Partner with engineering teams to deliver scalable AI infrastructure, orchestration services, model gateways, and data access patterns that enable self-service AI development.
Evaluate emerging technologies including GenAI, Agentic AI, foundation models, vector databases, and AI engineering tooling; translate trends into actionable architecture roadmaps and strategic recommendations.
Establish architecture standards, technical guardrails,



and governance frameworks for AI and data solutions; support architecture reviews to ensure compliance and operational excellence as part of App Code management in LeanIX.
Collaborate with RBC's AI teams (Global Functions IT, Payment IT, Borealis, Lumina) and senior executives to ensure consistent, enterprise-wide AI architecture standards and architectural consistency across initiatives.
What do you need to succeed? Must have:
5+ years in architecture, data engineering, AI engineering, or platform engineering with deep understanding of AI/ML fundamentals, frameworks, and programming languages (SQL, Python, Java).
Working knowledge and experience managing App Code in LeanIX as lead architect or delegate, and Athena certification process.
Degree in data engineering, Computer Science, or related field; or equivalent work experience in software/model development.
Proven experience designing large-scale enterprise data and AI platforms in complex environments.
Strong knowledge of cloud technologies (AWS, Azure, GCP), APIs, data platforms, ML platforms, and GenAI architectures.
Robust communication skills to translate technical solutions and complex architectures into business outcomes.
Nice to have Experience in financial shared services, payment and trade, and cash service operations
Hands-on experience with LLM, AI/ML model development, simulation, and deployment.




Experience working directly with client or business teams in banking operations industry
Experience with model lifecycle management, and design thinking
Prior exposure to RBC enterprise data platforms or financial services.
Experience of building or leading AI/data science teams.
What’s in it for you? A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Opportunity to grow, learn and build strong leadership skills
Ability to make a difference and lasting impact for both RBC and the community
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to do challenging work and grow your technical literacy
Broad exposure and opportunity to collaborate with many teams across the organization
Job Skills Applications Architecture, Architectural Modeling, Critical Thinking, Enterprise IT Architecture, Information Technology Consulting, Multi-Level Communication, Platform Architecture, Software Product Design, System Applications, Transitional Architecture
Additional Job Details Address: 180 WELLINGTON ST W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-07-02
Application Deadline: 2026-08-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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📌 Lead Data and AI Architect (Ontario)
🏢 RBC
📍 Ontario