Principal AI Platform Engineer

RBCToronto, ON
Onsite

About The Position

Are you interested in working as a Principal AI Platform Engineer on the Data & AI Platform Team in Technology Infrastructure at the Royal Bank of Canada? Join our dynamic team at the forefront of innovation! We are a passionate group of professionals dedicated to delivering cutting-edge capabilities in the dynamic world of data & AI. Our focus is on empowering RBC enterprise operations with transformative solutions, including enterprise data processing & DataOps pipelines, state-of-the-art machine learning implementations, and advanced AI context engineering technologies. As data & AI technologies continue to revolutionize how we operate, you’ll have the chance to make a tangible impact on RBC’s growth trajectory. Collaborate with a diverse and talented team of professionals who are passionate about pushing the envelope and driving innovation. Together, we’ll build enterprise-grade solutions of the highest quality that not only but exceed RBC’s evolving needs. We are seeking a talented Principal AI Platform Engineer with a passion for data & AI technologies to join our cross-skilled team. If you are eager to embark on an exciting journey where creativity and innovation are celebrated, and where your contributions will shape the future of RBC, then we want to hear from you!

Requirements

  • Expert-level backend development experience with Java, Python (Spring Boot, Fast API, multithreading, messaging)
  • Proven experience building cost-effective agentic AI solutions and frameworks.
  • Solid knowledge of container orchestration (Docker, Kubernetes).
  • Proven experience building services on public and private cloud platforms such as Azure, AWS, OCP.
  • Experience architecting solutions leveraging OpenTelemetry, vector and graph databases.
  • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
  • Excellent interpersonal and communication skills with the ability to influence technical and non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent.

Nice To Haves

  • Master’s degree in Computer Science, Software Engineering, or equivalent.
  • Experience with ElasticSearch, Neo4j, ClickHouse.
  • Prior experience working in a major financial institution.
  • Prior experience managing a team of senior engineers.

Responsibilities

  • Design scalable architectures for agentic AI applications, distributed services, MCPs, APIs, and data-intensive workloads.
  • Build production-grade backend services, orchestration frameworks, and reusable platform components.
  • Build resilient event-driven big data processing framework and efficient query layer.
  • Engineer effective context layer from structured and unstructured data for agentic AI workloads.
  • Own service integrations, ensuring reliability, performance, and maintainability.
  • Collaborate with cross-functional teams to understand data and AI requirements, provide technical solutions.
  • Manage deployment and configuration of services, including DR.

Benefits

  • 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.
  • Network and build lasting relationships with students from diverse backgrounds from across Canada.
  • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance.
  • Leaders who support your development through coaching and learning opportunities
  • Work in a dynamic, collaborative, progressive and highly performing team
  • Ability to make a difference and lasting impact.
  • Enjoy a comfortable work environment with the option to dress casually.
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