Staff AI Engineer

RBC•Toronto, ON

1d•Onsite

About The Position

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 a diverse technology infrastructure spanning 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.

Requirements

5+ years of infrastructure engineering with a strong understanding of technology infrastructure, including Cloud (Azure, AWS), Kubernetes (AKS, OpenShift), containerization, Terraform, and infrastructure security.
Strong understanding of agentic development and core agentic AI concepts: MCP, A2A, Guardrails, Authentication, and Evaluation.
Practical experience building and deploying containerized, cloud-native applications across diverse infrastructure environments.
Hands-on experience with AI resources and services such as AI Foundry, Bedrock, and Azure AI Search.
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 Haves

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.

Responsibilities

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.