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Open nowPosted 63 days ago

Senior Principal AI Engineer

qfg70 open roles

Where
North American Centre, 5700 Yonge St #210B, North York, ON M2M 4G3, Canada
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Your applicationOpen nowSenior Principal AI Engineerqfg · North American Centre, 5700 Yonge St #210B, North York, ON M2M 4G3, Canada

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Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

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  2. 3.4%3 days
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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 63 days ago

The posting

What’s in it for you as an employee of QFG?

Health & wellbeing resources and programs 

Paid vacation, personal, and sick days for work-life balance

Competitive compensation and benefits packages

Work-life balance in a hybrid environment with at least 3 days in office

Career growth and development opportunities

Opportunities to contribute to community causes

Work with diverse team members in an inclusive and collaborative environment

This job posting is for an existing vacancy We’re looking for our next Senior Principal AI Engineer. Could It Be You? Acting as a hands-on technical leader and force multiplier in AI Engineering & Enablement, to advance AI-assisted SDLC. This includes driving engineering productivity, AI CI/CD, pipeline integration, automation, and scalable platform capabilities safely within a regulated environment. The role involves working closely with engineering leadership and cross-functional teams to establish pragmatic patterns, provide clear technical direction, and help squads ship effectively.   Need more details? Keep reading…

Lead the design, implementation, and scaling of AI-assisted SDLC capabilities, focusing on engineering productivity, AI CI/CD pipelines, and comprehensive automation. Act as a hands-on technical anchor, setting clear technical direction and establishing pragmatic, reusable implementation patterns to help squad-aligned teams ship faster and more reliably. Architect and integrate advanced AI platform capabilities, ensuring all solutions are deployed safely, securely, and in full compliance with Questrade’s highly regulated technology environment. Partner closely with engineering leadership to navigate complex technical trade-offs, ensuring solutions balance immediate delivery needs with long-term architectural stability. Drive the seamless integration and adoption of AI enablement tools across engineering squads, removing bottlenecks and fostering strong cross-functional alignment. Provide expert-level mentorship and hands-on guidance to engineering teams, elevating the organization's overall proficiency in building and deploying AI-driven solutions. Architect, deploy, and operationalize advanced agentic systems, ensuring robust monitoring, observability, and safety guardrails for autonomous AI workflows in production. Continuously evaluate and implement emerging AI technologies, championing engineering best practices and ensuring the platform scales effectively with business needs.

So are YOU our next Senior Principal AI Engineer? You are if you…

Education: Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field (or equivalent practical experience). Years of Experience: 10+ years of progressive software engineering experience, including 3+ years specifically focused on AI engineering, LLMOps, AgentOps, or AI-assisted SDLC automation. Technical Leadership: Proven track record operating as a Staff or Principal-level engineer, acting as a hands-on technical force multiplier across multiple engineering squads. AI Integration: Deep technical expertise with AI CI/CD pipelines, integrating AI into existing workflows, and scaling automation in production environments. Regulated Environments: Demonstrated experience building, deploying, and governing compliant technology solutions within highly regulated industries (e.g., Financial Services, FinTech). Vendor Management: Demonstrated experience managing enterprise software vendor relationships, including tool evaluation frameworks, trial execution, and cross-functional stakeholder alignment through procurement, privacy assessments, and security reviews.

  Additional kudos if you…

Domain Knowledge: Previous experience working specifically within wealth management, trading, or brokerage operations technology.

  Compensation Information:

Base salary range: $165,000 - 200,000

  Sounds like you? Click below to apply! #LI-DM1  #LI-Hybrid        

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