Principal Engineer, Software Engineering / AI Engineer
- Toronto, ON
- Hybrid
- Posted Sep 24, 2026
- 1 position
US$285,000–US$325,000 / year
Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Director
Job summary
Lead multidisciplinary engineering teams to modernize enterprise platforms or build next-generation AI-enabled products. Drive technical standards, architecture, and the scaling of production-grade systems while mentoring high-performing engineering talent.
Job details
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. Interested? Please share your updated resume with Zhanna at zhanna.dalbenka@quantum-qtr.com. REFER A PERM HIRE AND EARN A CASH BONUS! For details, click here. 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.
What you’ll do
Lead multidisciplinary engineering teams to modernize enterprise platforms or build next-generation AI-enabled products. Drive technical standards, architecture, and the scaling of production-grade systems while mentoring high-performing engineering talent.
Requirements
Requires significant experience leading multiple software or ML engineering teams with a strong hands-on technical foundation. Candidates must demonstrate expertise in building complex, scalable systems using Java, Python, and cloud environments.
Listed skills
- Java · Preferred
- Python · Preferred
- React · Preferred
- Amazon Web Services · Preferred
- Microsoft Azure · Preferred
- Team Leadership · Preferred
- Product Development · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Software Engineering
- AI Engineering
- ML Engineering
- Java
- Python
- React
- AWS
- Azure
- Cloud Computing
- System Architecture
- Team Leadership
- Product Development
- Production-grade Systems
- Enterprise Platform Modernization
- Technical Strategy
Job areas
- Technology
- Software
- Management & Leadership
- Engineering
- Data & Analytics
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