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Salary
≈ $84k – $166k per year (Estimated)
Location
In office (Toronto)
Seniority
Staff · 4+ years exp
Visa
Positions approved through LMIA in 12 months: 18 · for this role: 8
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Aug 30, 2026. Royal Bank of Canada scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Toronto, Ontario - with its registered head office in Montreal, Quebec - Royal Bank of Canada (RBC) is a major global financial services enterprise and Canada's largest bank by market capitalization. The institution operates a diversified universal banking platform spanning personal and commercial banking, global wealth management, capital markets, insurance, and investor services. Serving over 19 million consumer, commercial, and institutional clients across nearly 30 countries, it functions as a global systemically important bank (G-SIB) and a primary provider of international financial infrastructure.
Backed by RBCx

Job Description

What is the opportunity?

As AI-First Quality Engineer Lead in QEX & DevOps, 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., GitHub 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 DevOps toolchains 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.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions
  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential.
  • Working in a unique atmosphere dedicated to Innovation.
  • Ability to make a difference and lasting impact from a local-to-global scale
  • Work on Next Gen Technology to lead the way in Innovation

Job Skills

Agentic AI, Agentic AI, AI Agents, AI Prompting, Artificial Intelligence (AI), Artificial Intelligence Technologies, Automation Frameworks, Cloud Native, Ecosystems, Generative AI, Generative AI Agents, Information Technology (IT) Infrastructure, Intelligent Agents, Programming Languages, Quality Gates, Software Change Request Management, Software Delivery, Software Development Life Cycle (SDLC), Software Engineering, Software Integration Engineering, Software Product Design, Software Product Technical Knowledge, Software Quality, Software Release Management, Software Systems Engineering {+ 5 more}

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-25

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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