Senior AI Engineer - AI Engineering & Enablement

Questrade Financial Group (QFG), through its companies - Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti, provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more. We use cutting-edge technology to help Canadians become much more financially successful and secure.

At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver unparalleled customer experiences and shaping a future where AI empowers our teams to do their best work.

Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits. If you share this sense of infinite possibility, come shape your future at 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.
• Community contribution opportunities to support various causes.
• Inclusive environment working with diverse team members in a collaborative setting.

This job posting is for an existing vacancy.

We are on a mission to democratize finance and empower investors through technology. We are hiring a Senior AI Engineer, a hands-on technical leader and force multiplier in AI Engineering & Enablement, to advance AI-assisted SDLC: engineering productivity, AI CI/CD and pipeline integration, automation, and related platform capabilities safely and at scale in Questrade’s regulated technology environment. You work within squad-aligned priorities and technical trade-offs agreed with engineering leadership, combining deep implementation skill with sound judgment to help teams ship through pragmatic patterns, clear technical direction, and strong cross-functional alignment.

In this role, responsibilities include but are not limited to:

• Technical leadership:
  Define and drive technical direction for complex initiatives within the AI Engineering & Enablement charter and squad-aligned priorities, spanning AI-assisted engineering, internal tooling, SDLC automation, AI CI/CD and pipeline-level patterns, and integration across services and platforms.
• Lead solutioning for ambiguous problems by producing crisp technical artifacts (RFCs, decision records, runbooks, evaluation summaries, and onboarding guides) that enable teams to move faster with confidence.
• Hands-on delivery:
  Lead spikes, reference implementations, and critical-path engineering work when it accelerates outcomes; perform code reviews and pairing to uplift engineering quality and consistency.
• AI, automation, and developer productivity:
  Establish and evolve safe, scalable patterns for AI-assisted development and automation—including coding assistants, agent workflows, tool-use patterns (APIs, MCP, CLI-based agents), retrieval and RAG patterns where contextual AI is productized, and evaluation/traceability approaches that improve engineering velocity without compromising controls.
• Quality and testing in the SDLC:
  Contribute to test strategy, quality gates in CI/CD, and AI-assisted testing approaches that fit regulated engineering standards.
• Partner with security, enterprise architecture, and cloud platform teams so designs reflect identity, access, spend guardrails, auditability, operational ownership, and standards for AI APIs and AI CI/CD where applicable.
• Enablement:
  Connect product and platform teams so promising ideas mature into deployed, consumed capabilities.
• Improve instrumentation and feedback loops (dashboards, limits, alerts, lightweight metrics) so adoption and risk are visible to leadership.
• Mentor engineers through complex technical challenges; facilitate productive conversations across engineering, risk, and leadership during planning, incident learnings, and…