GFT - Lead Solutions Architect

Royal Bank of Canada • Vancouver, BC

1d

About The Position

We are seeking a visionary Lead AI Solution Architect to join our innovative group. In this role you will design and deliver enterprise-grade AI solutions spanning the Employee Digital & Automation domain within RBC Global Functions Technology - driving business value by translating complex business requirements into scalable, secure AI architectures and supporting cross-functional teams through the full solution lifecycle from requirements gathering to deployment. You will develop technical roadmaps, collaborate with stakeholders across business and technology, and champion best practices in AI governance and responsible AI to ensure solutions meet both functional requirements and enterprise security standards. Your work will align to the strategic direction set by GFT and RBC Technology & Operations AI-SDLC. This is a role for someone who thinks in systems, builds with intent, and brings architectural rigour to a rapidly evolving AI landscape.

We are seeking a highly skilled and versatile Lead Solutions Architect to join our Global Functions Technology team within RBC Technology and Operations. In this role, you will design and implement robust technology solutions that align with RBC’s strategic objectives. You will work on a variety of projects, including but not limited to generative AI (GenAI), cloud computing, data management, cybersecurity, and enterprise applications. You will collaborate closely with Architects, business stakeholders, and other departments to ensure that technology solutions are scalable, secure, and meet diverse business requirements.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in solutions architecture, with a focus on large-scale, complex environments.
• Strong understanding of architecture frameworks, methodologies, and best practices (e.g., TOGAF, Zachman).
• Broad expertise across multiple technology domains, including cloud computing, cybersecurity, data management, enterprise applications, and more.
• Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.

Nice To Haves

• Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Familiarity with Model Context Protocol (MCP) and tool-use patterns for AI agents.
• Experience with graph databases (Neo4J or similar) for knowledge representation.
• Background in architecture-as-code practices - decision records, automated compliance checks, living documentation.
• Knowledge of RBC's technology landscape and regulatory environment.

Responsibilities

• Architect end-to-end Generative AI and AI Native solutions including data pipelines and model selection through enterprise aligned integration patterns, deployment, and operational monitoring.
• Work with business and technology stakeholders to understand requirements, define solution strategies, and present architectural recommendations to senior leadership.
• Develop technical roadmaps that connect emerging AI capabilities to near-term business priorities and long-term organizational strategy.
• Establish and evolve AI architectural standards, reference patterns, and reusable frameworks that can be adopted across teams.
• Embed AI governance, responsible AI, and enterprise security into every phase of the solution lifecycle. Evaluate and mitigate AI-specific risks including bias, hallucination, and data security, ensuring transparency and reliability in production systems.
• Assess emerging technologies and platforms, conduct proof-of-concept evaluations, and make informed build-vs-buy recommendations.
• Prototype solutions to validate architectural hypotheses and de-risk technical decisions before committing to full implementation.
• Build tools, AI agents, and integrations that automate and scale architecture practices, championing an "as code" approach to solution delivery.
• Mentor and upskill engineering teams on AI architecture, design patterns, and AI-native development practices including agentic workflows and AI-powered specification generation to accelerate the journey from intent to production-ready specification.

Benefits

• A chance to influence how AI is architected and delivered within one of Canada's largest financial institutions, at a pivotal moment in the technology landscape.
• Real ownership of architectural decisions across the full solution lifecycle.
• Access to leading-edge AI technologies and a mandate to evaluate and apply emerging capabilities.
• A collaborative, high-performing team that values innovation, rigour, and practical results.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior