Principal Engineer, Software Engineering / AI Engineer

Quantum Technology Recruiting Inc. (QTR); Toronto; Hybrid; CAD 285,000 - 325,000; Full time

Job summary

Quantum Technology Recruiting Inc. (QTR) partners with a global financial services leader in Toronto, offering two senior leadership tracks. You will guide enterprise platform modernization or AI innovation while staying hands-on with engineering.

Hybrid work is supported for a Toronto-based team. Ideal candidates bring deep experience leading software and ML engineering, strong cloud skills, and a track record of building scalable, production-grade systems that shape the future of finance

Qualifications

• Significant experience leading multiple Software and ML Engineering teams.
• Strong hands-on technical foundation; you understand the technology, not just delivery.
• Experience building and operating complex, production-grade systems at scale.
• Strong modern engineering and cloud experience.
• Experience with Java and/or Python; React is highly valuable.
• For AI-focused mandate, meaningful experience delivering AI/ML into production.
• Track record of attracting, developing and leading high-performing engineers.
• Ability to operate across engineering, product, architecture and senior stakeholders.

Responsibilities

• Lead 4 full-stack engineering teams with 20+ engineers.
• Modernize and transform large-scale production platforms.
• Drive adoption of modern cloud, engineering and AI capabilities.
• Lead across Java/Python, React and AWS/Azure environments.
• Build AI-enabled products and platforms from the ground up.
• Shape engineering standards, architecture and technical direction.

Skills

Team leadership

Hands-on engineering

Production systems

Cloud technologies

Java

Python

React

AI/ML production

Tools

AWS

Azure

Job description

Position: Principal Engineer, Software Engineering / AI Engineer
Location: Toronto, Hybrid
Salary: $285-325K+

We're partnering with a leading global financial services organization that is making a significant investment in its Toronto technology hub. We're looking for senior engineering leaders for two high-impact leadership opportunities spanning enterprise platform modernization and next-generation AI innovation. These roles are ideal for leaders who are still deeply technical and have built, scaled and led strong engineering organizations.

The Opportunities

Depending on your background, you could lead one of two mandates:

Enterprise Platform Modernization

• Lead 4 full-stack engineering teams with 20+ engineers
• Modernize and transform critical, large-scale production platforms
• Balance legacy modernization with greenfield engineering
• Drive adoption of modern cloud, engineering and AI capabilities
• Lead across Java/Python, React and AWS/Azure environments

AI & Engineering Innovation

• Lead multidisciplinary Software Engineering and ML Engineering teams
• Build next-generation AI-enabled products and platforms from the ground up
• Take AI/ML ideas and POCs through to scalable, production-grade systems
• Help shape engineering standards, architecture and technical direction
• Play a key role in building Toronto into a major AI innovation hub

What We're Looking For

We're interested in senior engineering leaders who bring:

• Significant experience leading multiple Software Engineering and/or ML Engineering teams
• A strong hands-on technical foundation - you understand the technology, not just the delivery
• Experience building and operating complex, production-grade systems at scale
• Strong modern engineering and cloud experience
• Experience with Java and/or Python; React is highly valuable
• For the AI-focused mandate, meaningful experience delivering AI/ML capabilities into production
• A track record of attracting, developing and leading high-performing engineers
• The ability to operate across engineering, product, architecture and senior business stakeholders

We're particularly interested in hands-on leaders coming from high-scale technology, fintech, financial services or other complex engineering environments.

CNESST permit numbers: AP-2000158 et AR-2000157

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