Senior AI & Automation Engineer

RBC • Toronto, ON

5d • Onsite

About The Position

We are seeking an accomplished Senior Engineer to contribute to the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This role offers the opportunity to work on enterprise-scale automation and AI integration initiatives, establishing best practices, and advance the technical maturity of our engineering organization.

Requirements

• Expert-level UiPath Studio and Orchestrator architecture knowledge
• UiPath Document Understanding and AI Center experience
• UiPath Integration Service and Apps proficiency
• Advanced framework design (REFramework) and queue-based architecture expertise
• Experience integrating LLM APIs and prompt engineering
• API architecture experience (REST/SOAP)
• Proficiency in .NET or Python, SQL, Git, and CI/CD pipelines
• Cloud platform experience (Azure/AWS/GCP)

Nice To Haves

• Experience with automation Center of Excellence (CoE) models
• Agentic automation and advanced AI solutions experience
• UiPath Certified Professional credentials
• UiPath AI Associate/Professional Certification or equivalent AI engineering certification
• Contributions to open-source automation or AI/ML projects

Responsibilities

• RPA Engineering: Design and develop advanced UiPath automation solutions including attended and unattended automation, Document Understanding, Integration Service and API-based automation, and Orchestrator architecture.
• Optimize performance, scalability, and reliability of automation platforms.
• Conduct complex debugging, production support, and architectural reviews.
• Develop and contribute to reusable frameworks and code standards.
• AI Engineering: Design and implement AI-driven automation solutions including Intelligent Document Processing, LLM-powered automation, prompt engineering, conversational AI, and ML model integration.
• Integrate UiPath with enterprise AI platforms and APIs.
• Develop AI orchestration workflows with model monitoring and evaluation.
• Support implementation of agentic automation and advanced AI use cases.
• AI-Driven SDLC: Contribute to AI/ML solutions that enhance code generation, testing, deployment, and monitoring.
• Participate in integrating AI technologies into existing SDLC workflows and tooling.
• Support development and implementation of governance models for AI and responsible AI practices.
• Technical Contributions: Participating in technology evaluation and assessment for organizational adoption.
• Collaborate with enterprise architecture, security, and compliance teams.
• Contribute to technical training and knowledge sharing initiatives.

Benefits

• bonuses
• flexible benefits
• competitive compensation
• commissions
• stock where applicable
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• A world-class training program in financial services.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed