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Quantum Technology Recruiting Inc. (QTR)

Principal Architect - Enterprise AI & Agentic Platforms

Toronto, ON, Canada

$250,000 to $280,000 CAD / year · Full-time

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Job details

Pay: $250,000 to $280,000 CAD / year
Job type: Full-time
Apply by: Dec 5, 2026
Experience: 15+ years of experience in enterprise technology delivery, including senior technical leadership and executive-facing roles.
Posting language: English
Posted: Nov 5, 2026

Original job description

Position: Principal Architect - Enterprise AI & Agentic Platforms
Compensation: $250,000-$280,000 base salary
Job Type: Permanent
Working Model: Hybrid - 3-4 days onsite per week in downtown Toronto

Role Overview

We are seeking an experienced Principal Architect to provide enterprise-wide architectural leadership for a leading AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered.

The organization develops innovative AI platforms that enable enterprises to accelerate transformation while maintaining the governance, accountability, security, and control required in highly regulated environments.

In this role, you will define architectural standards, establish technical direction, and drive consistency across complex enterprise AI transformations. You will serve as a senior technical authority, influencing enterprise technology strategy and ensuring AI implementations remain scalable, secure, and maintainable.

This is a high-impact architecture leadership opportunity for someone who can balance enterprise-wide standardization with the practical realities of complex client engagements.

What You'll Own

Define enterprise architecture and technical standards for complex AI transformations, including agent design, orchestration, integration, and API architecture.
Lead the development and adoption of reusable reference architectures, implementation patterns, and technical capabilities across enterprise engagements.
Provide architectural leadership and guidance to senior architects, engineering leaders, and executive stakeholders, including CIOs and Chief Architects.
Establish security, data governance, and responsible AI architecture patterns that address regulatory and compliance requirements.
Mentor architects and senior engineers, resolve complex architecture challenges, and drive improvements in scalability, maintainability, and technical consistency.

What We're Looking For

Must Haves:

15+ years of experience in enterprise technology delivery, including senior technical leadership and executive-facing roles.
Demonstrated experience designing enterprise-scale AI platforms incorporating agentic AI, RAG, orchestration frameworks, API ecosystems, and cloud-native architectures.
Deep expertise in enterprise software architecture, integration patterns, API design, and technical governance.
Proven ability to establish reusable architecture standards and influence enterprise technology decisions across multiple teams or organizations.
Strong understanding of security, data governance, and responsible AI within regulated environments, with excellent communication and stakeholder management skills.

Nice to Have

-Previous experience as a Principal Architect, Chief Architect, or senior architecture leader within a software, SaaS, or AI platform organization.

Experience with enterprise AI ecosystems such as Azure AI, AWS Bedrock, Google Vertex AI, OpenAI, or Anthropic.
Background in financial services technology or other regulated industries.
Experience developing reusable architecture frameworks, AI governance systems, or enterprise platforms that drive adoption and reduce duplicated engineering effort.

Interested? If you're passionate about enterprise architecture, AI platforms, and shaping the technical direction of complex enterprise transformations, we'd love to hear from you.

This is an opportunity to take on a high-impact architecture leadership role, influence enterprise AI strategy, and help build scalable, secure, and reusable AI capabilities within a rapidly evolving technology landscape.

Please submit your resume for consideration to shannon.scullion@quantum-qtr.com

REFER A NEW HIRE AND EARN A CASH BONUS! For details, click here.

All applications are reviewed by our recruitment team, and hiring decisions are made by people. AI-enabled tools may also be used to support parts of the application review process.

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More about this job

Responsibilities

Define enterprise architecture standards and reusable patterns for AI transformations, including agent design, orchestration, integration, APIs, security, and data governance. Guide senior architects, engineers, and executives; mentor technical teams; and ensure enterprise AI solutions are scalable, secure, maintainable, and compliant.

Requirements

Requires 15+ years of enterprise technology delivery experience, including senior technical leadership and executive-facing work, plus expertise in enterprise-scale AI platforms, agentic AI, RAG, orchestration, APIs, integration, and cloud-native architecture. Candidates must be able to establish reusable standards, influence enterprise decisions, and address security, data governance, and responsible AI in regulated environments.

Skills

Enterprise Architecture
AI Platform Architecture
Agentic AI
Retrieval-Augmented Generation
AI Orchestration
API Design
Enterprise Integration
Cloud-Native Architecture
Technical Governance
Security Architecture
Data Governance
Responsible AI
Reference Architecture
Stakeholder Management
Technical Leadership
Mentoring

Visa sponsorship

Not detected in the job text

Hiring contact email

shannon.scullion@quantum-qtr.com

Keywords

Enterprise Architecture
Enterprise AI
Agentic AI
Retrieval-Augmented Generation
Orchestration Frameworks
API Ecosystems
API Architecture
Enterprise Integration
Cloud-Native Architecture
Technical Governance
Reference Architectures
Implementation Patterns
Security Architecture
Data Governance
Responsible AI
Regulatory Compliance
Scalability
Maintainability
Azure AI
AWS Bedrock
Google Vertex AI
OpenAI
Anthropic
Financial Services
SaaS
Enterprise Platforms

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