Staff AI Platform Engineer

RBC; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

RBC Borealis is building an AI Agent Platform to securely run autonomous agents across multi-cloud environments, including OpenShift, AWS, and Azure. You will design and maintain services supporting scalable AI workloads while collaborating on standards and best practices.

The role emphasizes identity, networking, observability, and runtime orchestration, with mentorship of engineers and a focus on CI/CD and IaC to improve deployment automation.

Qualifications

• 5+ years of infrastructure engineering in Azure, Terraform, and cloud security.
• Hands-on experience with Kubernetes (AKS, OpenShift) and cloud-native apps.
• Experience with AI resources in Azure and AWS (AI Foundry, Bedrock, Azure AI Search).
• Familiarity with observability tools like Prometheus, Grafana, Dynatrace.
• Strong collaboration and ability to influence technical decisions across teams.

Responsibilities

• Design, build, and maintain services for secure, scalable AI workloads across environments.
• Collaborate to define APIs, standards, and best practices across teams.
• Drive platform capabilities including identity, networking, observability, and orchestration.
• Mentor engineers through code reviews and design sessions.

Skills

Azure

Cloud security

AI resources on Azure/AWS

Mentoring engineers

Communication across teams

LangChain

LlamaIndex

Tools

AKS

OpenShift

Kubernetes

Terraform

Prometheus

Grafana

Dynatrace

Job description

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.

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.

Note

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

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 (Software)

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: 2026-08-28

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.