GFT - Lead Solutions Architect

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. You will translate complex business requirements into scalable, secure AI architectures and support 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.

What Will You Do?

• Architect end‑to‑end Generative AI and AI Native solutions, including data pipelines, model selection, 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 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.
• Assess emerging technologies and platforms, conduct proof‑of‑concept evaluations, and make build‑vs‑buy recommendations.
• Prototype solutions to validate architectural hypotheses and de‑risk technical decisions before full implementation.
• Build tools, AI agents, and integrations that automate and scale architectural practices, championing an “as code” approach to delivery.
• Mentor and upskill engineering teams on AI architecture, design patterns, and AI‑native development practices.

What Do You Need to Succeed?

Must Have

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of solutions architecture experience in large‑scale, complex environments.
• Strong understanding of architecture frameworks, methodologies, and best practices (e.g., TOGAF, Zachman).
• Broad expertise across 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‑Have

• 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.

What Kind of Person Thrives in This Role?

You bridge the gap between business intent and technical execution. You’re energized by AI, naturally curious, and motivated by building solutions that create measurable impact, not just impressive demos. You take ownership, see opportunities before they’re assigned, ask the right questions, and drive solutions forward without waiting for permission. You’re comfortable navigating ambiguity and cutting through complexity to find the right architectural path. You think end‑to‑end, from a stakeholder’s problem through to a production system that’s governed, scalable, and maintainable.

What’s in it for You?

• A chance to influence how AI is architected and delivered within one of Canada’s largest financial institutions.
• 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.

Job Skills

Agentic AI, AI Architecture, Collaboration, Critical Reasoning, Group Problem Solving, Information Technology Consulting, IT Architecture, Multi‑Level Communication, Secure AI, Service‑Oriented Architecture (SOA), Solution Architecture, Target Architecture.

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