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About the Role

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. In this role, you will serve as the architectural authority for TEO's AI platforms, data foundations, reusable AI services, and operations AI enablement capabilities. You will establish scalable, governed data foundations that support enterprise AI readiness across all AI solutions, leveraging deep expertise in enterprise data architecture, metadata management, and emerging AI data patterns. By working across business, technology, data, and AI teams, you will drive the transformation of AI capabilities into reusable platform services that accelerate adoption, enhance operational efficiencies, and deliver measurable business value across TEO and the enterprise.

Responsibilities

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.

Requirements

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.
Strong communication skills to translate technical solutions and complex architectures into business outcomes.
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.

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
SQL
Python
Java
AWS
Azure
GCP
APIs
LLM

Location

Toronto, Canada

Work Type

Full time

Experience Level

5+ years

Education Level

Degree in data engineering, Computer Science, or related field; or equivalent work experience in software/model development.

Benefits

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

About the Company

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.