Senior AI & Automation Engineer

Royal Bank of Canada•Toronto, ON

4d•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

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
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
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
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