AI-First Quality Engineering Lead

Job Description
As AI-First Quality Engineer Lead in QEX & Dev Ops, you will be a driving force in fundamentally reimagining how RBC builds and delivers software — where AI is not a feature of the QE practice, but the foundation it is built on.

You will partner across technology, product, and platform teams to lead a full shift-left transformation powered by GenAI, intelligent automation, and agentic engineering practices. This is not a role about managing test pipelines — it is about building a quality engineering organization that thinks, operates, and scales with AI at its core.

In this role, you will leverage your full-stack engineering experience and AI fluency to go beyond automating the SDLC. You will embed intelligence directly into RBC’s applications, tools, and delivery ecosystems — using LLMs, AI agents, and predictive analytics to detect risk earlier, accelerate delivery, and raise the bar on software quality at enterprise scale.

We are looking for a bold, future-forward engineer who can sustain and extend RBC’s leadership position in the industry — someone who sees AI not as a productivity add-on, but as a strategic capability to be engineered, governed, and continuously evolved. You will set the vision, build the culture, and model the AI-first mindset that will define the next era of quality engineering at RBC, all while upholding RBC’s Values and guiding principles.

What will you do?

Lead AI-augmented quality engineering — design and champion testing strategies where AI/ML tools are the default, not an afterthought, across the full software delivery lifecycle

Build AI-native automation frameworks — architect test ecosystems that leverage LLMs, generative AI, and intelligent agents to autonomously generate, execute, and triage test cases

evaluate, pilot, and operationalize AI-powered QE tools (e.g., self-healing test suites, AI-based defect prediction, intelligent test selection) to replace manual and legacy processes

Embed AI into cloud-scale delivery pipelines — integrate AI-assisted quality gates into CI/CD workflows across distributed, cloud-native, and mainframe environments

Solve hard problems with AI — prototype and validate novel AI-driven approaches to test coverage gaps, flaky test detection, and production observability

What do you need to succeed?

Hands-on experience using AI/ML tools in a QE context — e.g., Git Hub Copilot, LLM-based test generation, AI-driven test analysis platforms

Proficiency in Python, Java, or .NET with demonstrated use of AI/LLM APIs (Anthropic, OpenAI, etc.) to build intelligent automation

Strong understanding of agentic workflows and how to apply multi-step AI reasoning to complex testing problems

Experience building or evaluating AI-powered tools: self-healing selectors, visual AI testing, defect clustering, predictive analytics

Working knowledge of Git and modern Dev Ops tool chains with AI integration points (e.g., AI-assisted PR review, intelligent pipeline observability)

Must-have

AI-first mindset — demonstrated track record of reaching for AI-based solutions first when designing QE strategy, not retrofitting AI onto existing processes

4 years in QE/test engineering with expertise across cloud, distributed systems, APIs, databases, and mainframe environments

Expert in defining EVALs, SKILLS, test and automation strategies with a focus on measurable outcomes — coverage, velocity, defect escape rate — powered by AI-driven insights

Experience with GenAI application testing considerations: hallucination detection, non-determinism, prompt regression, and responsible AI validation

-Computer Engineering, Computer Science, related (technical) degree/diploma, or related breadth of experience

Nice to Have:
-Prior working experience in financial industry

What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

Job Skills
Agentic AI, Agentic AI, AI Agents, AI Prompting, Artificial Intelligence (AI),…