Senior AI Engineer

About the role

RBC is looking for a Senior AI Engineer in Toronto to design, develop and implement AI-driven solutions within its software development lifecycle. The role covers enterprise-scale AI integration, establishing best practices and advancing the technical maturity of the engineering organization, working with cross-functional teams.

Key responsibilities

• Design and build MCP (Model Context Protocol) servers and tools, and AI-driven automation such as LLM-powered automation, prompt engineering and conversational AI
• Develop ML model integration and AI orchestration workflows with monitoring and evaluation, and integrate UiPath with enterprise AI platforms and APIs
• Integrate LLM APIs, design and maintain AI workflow orchestration, and build Intelligent Document Processing and NLP solutions
• Build and manage vector databases and RAG systems, and support responsible AI governance
• Contribute to AI/ML solutions that improve code generation, testing, deployment and monitoring, and embed AI into existing SDLC workflows
• Evaluate technologies, collaborate with enterprise architecture, security and compliance teams, and mentor junior team members

Required profile

• 4-6 years of experience building and operating production software systems at scale
• 1-2 years of hands-on experience with LLMs and generative AI in production or serious prototyping
• Experience building or contributing to RAG systems and MCP servers, and familiarity with agent-tool integration frameworks
• Experience with agentic automation and advanced AI solutions (nice to have)
• Open-source contributions to automation or AI/ML projects (nice to have)

Required skills

• .NET/C#, Python, SQL, Git and CI/CD pipelines
• API architecture (REST/SOAP) and LLM API integration with prompt engineering
• Agentic AI patterns: tool use, agent orchestration, ReAct, multi-step reasoning, memory and context management
• Cloud platforms (AWS, Azure or GCP), containers (Docker/Kubernetes) and CI/CD
• Nice to have: cloud certifications, Java, Go or Rust, and production experience with agentic automation

What we offer

• Total rewards program with competitive compensation, bonuses, flexible benefits, commissions and stock options where applicable
• Leadership focused on coaching and career growth
• Training programs in financial services and emerging technologies