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. #TECHPJ #Ll-POST 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: 2026-06-30 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 . 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.