Synopsis of the role In this role, you won't just optimize existing workflows-you will design, build, and deploy sophisticated GenAI and Agentic AI solutions within our secure, globally integrated architecture. You will bridge the gap between cutting-edge autonomous AI frameworks and enterprise-grade RPA (UiPath), transforming complex ideas into robust, system-driven solutions. Leading a talented squad of developers and vendor partners, you will champion a design-thinking approach to redefine how our global enterprise operates.
What you will do AI Architecture & Systems Thinking- Architect Secure AI Solutions: Design and orchestrate end-to-end GenAI and Agentic AI architectures utilizing Google Cloud Platform (Vertex AI) and secure internal environments.
- System Integration: Apply rigorous systems thinking to integrate advanced AI agents seamlessly into existing enterprise infrastructure, ensuring high data integrity and security compliance.
- Blueprint & Governance: Create comprehensive technical architecture designs, dataflow diagrams, and lead solutions through rigorous architecture and security reviews.
Hands-on Engineering & Innovation- Lead Developer: Act as the primary, hands-on engineering lead for complex GenAI applications and multi-agent frameworks, writing clean, standardized, and reusable code.
- Bridge the Automation Spectrum: Oversee and optimize our robust AI & RPA footprint, strategically identifying where traditional automation should be enhanced or replaced by intelligent agents.
- Creative Problem Solving: Apply a customer-centric, design-thinking lens to design solutions and rapidly prototype creative, fact-based AI solutions.
Technical Leadership & Delivery- Squad Leadership: Lead and mentor a cross-functional delivery team of developers, BAs, QA engineers, and offshore vendor partners to ensure flawless execution.
- Code Quality & Governance: Establish development best practices, conduct code reviews for internal and vendor-delivered artifacts, and maintain a standardized global code repository.
- Stakeholder Translation: Act as the ultimate technical translator, clearly articulating complex AI concepts, capabilities, and risks to non-technical business leaders.
What Experience You Need- Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related technical discipline.
- 3-5 years of proven experience designing, building, and deploying enterprise-grade AI and automation solutions.
- Hands-on development experience within cloud ecosystems, with a strong preference for Google Cloud Platform (Vertex AI).
- Demonstrated success bridging business requirements with technical execution, creating scalable system designs in complex corporate environments.
- Proven ability to manage technical expectations, lead vendor teams, and independently troubleshoot complex workflow bottlenecks under tight deadlines.
What Could Set You Apart- Live production experience deploying Agentic AI frameworks (ADK, LangGraph, or similar), and GenAI solutions (RAG, IDP, etc)
- Advanced knowledge of the UiPath ecosystem and a clear vision of how RPA converges with Large Language Models (LLMs).
- A proactive, self-motivated mindset with a passion for driving AI adoption across an organization to fundamentally change the way people work.
- Demonstrated learning agility and a proactive approach to mastering new technologies.
This is a newly created position.Primary Location:CAN-Toronto-5700 Yonge
Function:Function - Project, Program and Process Management
Schedule:Full time
