Staff AI Platform Engineer

Job Description

What is the opportunity?

At RBC Borealis, we're building the AI Agent Platform that will redefine how financial services are developed, deployed, and run securely at scale. Our team is responsible for the platform that powers intelligent, autonomous agents across multi-cloud environments including OpenShift, AWS, and Azure.

As a Staff Software Developer, you'll play a critical role in designing, building, and operating core components of this platform. You'll work alongside Senior and Principal Developers, driving architectural decisions, mentoring engineers, and delivering high-quality, production-ready code. You'll contribute to shaping the platform that enables RBC teams to build and run AI-powered systems safely and efficiently.

What will you do?

• Design, build, and maintain services that enable secure, scalable, and observable AI agent workloads across multiple environments.
• Collaborate with engineering, architecture, and security teams to define and implement technical standards, APIs, and best practices.
• Drive the development of platform capabilities including identity, networking, observability, and runtime orchestration.
• Mentor and support engineers through code reviews, design sessions, and knowledge sharing.
• Contribute to improving developer experience and deployment automation through CI/CD, infrastructure-as-code, and testing frameworks.
• Participate in technical planning, helping to define milestones and deliverables across engineering squads.
• Ensure reliability, performance, and security are embedded into everything we build.

What do you need to succeed?

Must-have:

• 5+ years of Infrastructure engineering in Azure, Terraform, Cloud Security.
• Strong practical experience in AI resources in Azure and AWS (AI Foundry, Bedrock, Azure AI Search)
• Experience in Agentic AI concepts: MCP, A2A, Guardrails, Authentication, Evaluation,
• Hands-on experience with Kubernetes (AKS, Openshift) , and building containerized, cloud-native applications.
• Experience with observability tools and monitoring systems such as Prometheus, Grafana, or Dynatrace.
• Proven track record of delivering high-quality, production systems end-to-end.
• Strong collaboration and communication skills, with experience influencing technical decisions across teams.

Nice-to-have

• Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
• Familiarity with Azure Entra ID, workload identity, SPIFFE/SPIRE, or OIDC integration.
• Exposure to admission controllers, policy enforcement, or platform security tools.
• Interest in mentoring engineers and contributing to technical strategy discussions

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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Job Skills

Active Learning, Agile Methodology, AI Agents, Application Integrations, Detail-Oriented, Docker (Software), Group Problem Solving, Kubernetes, Microsoft Azure, Programming Languages, Python (Programming Language), Software Development Life Cycle (SDLC), Terraform

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:

2026-04-21

Application Deadline:

2026-05-31

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 perspectiv