GFT - Lead Solutions Architect
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Key skills for this role
About the Role
RBC seeks a visionary Lead AI Solution Architect to design and deliver enterprise-grade AI solutions within Global Functions Technology. You will translate complex business requirements into scalable, secure AI architectures, develop technical roadmaps, and champion AI governance.
Key Skills for This Role
Responsibilities
- 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 organizational strategy
- Establish and evolve AI architectural standards, reference patterns, and reusable frameworks
- Embed AI governance, responsible AI, and enterprise security into every phase of the solution lifecycle
- 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
- Build tools, AI agents, and integrations that automate and scale architecture practices
- Mentor and upskill engineering teams on AI architecture, design patterns, and AI native development practices
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
- Exceptional communication and interpersonal skills
Full Job Posting
Job Description
- We are seeking a visionary Lead AI Solution Architect to design and deliver enterprise grade AI solutions spanning the Employee Digital & Automation domain within RBC Global Functions Technology.
- You will develop technical roadmaps, collaborate with stakeholders, and champion best practices in AI governance and responsible AI.
What will you do?
- 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.
- 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.
- Mentor and upskill engineering teams on AI architecture, design patterns, and AI native development practices.
What do you need to succeed?
- 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 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 take ownership and drive solutions forward without waiting for permission.
- 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.
Additional Job Details
- Address: 745 THURLOW ST:VANCOUVER
- Work hours/week: 37.5
- Employment Type: Full time
- Platform: TECHNOLOGY AND OPERATIONS
- Job Type: Regular
- Pay Type: Salaried
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