Automation Solution Lead

Equifax; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Equifax seeks a GenAI Architect to design, build, and deploy sophisticated AI solutions within a secure, global framework. You will lead a squad of developers and vendor partners, applying design thinking to transform enterprise operations.

The role emphasizes hands-on engineering for complex GenAI apps, integration with UiPath-based automation, and clear communication with business leaders. Toronto-based, full-time, hybrid work is anticipated.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or related technical discipline.
• 3–5 years designing and deploying enterprise-grade AI and automation solutions.
• Hands-on development in cloud ecosystems, preferably Google Cloud Platform (Vertex AI).
• Ability to translate business needs into scalable AI architectures.

Responsibilities

• Architect Secure AI Solutions and orchestrate end-to-end GenAI and Agentic AI architectures in GCP and secure environments.
• Integrate advanced AI agents into enterprise infrastructure with emphasis on data integrity and security.
• Create architecture designs and dataflow diagrams and lead architecture reviews.
• Lead a development team and vendor partners, writing clean, reusable code.
• Oversee AI & RPA footprint, identifying where automation should be enhanced by intelligent agents.
• Mentor a cross-functional delivery team to ensure flawless execution.

Skills

Architecting GenAI systems

Systems thinking

Leadership of cross-functional teams

Security & data governance

Cloud deployments (GCP Vertex AI)

RPA integration (UiPath)

Code quality & reviews

Education

Bachelor's degree in Computer Science or related

Tools

Google Cloud Platform (Vertex AI)

UiPath ecosystem

Job description

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