2026 Capital Markets, Technology Infrastructure Summer Analyst, Shared Platform Services Team

Royal Bank of Canada-posted 3 days ago
Full-time • Intern
Jersey City, NJ
5,001-10,000 employees
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What is Tech Infrastructure? RBC Tech Infrastructure is making some significant technological bets over the coming years. We are investing in innovation, out of the box thinking, and experimentation using the latest tools and platforms in the industry. We can’t do it alone! We’re looking for individuals with awesome skills who stand out in a crowd. If you’re top of your class, own the hackathon circuit, think big, and are perpetually curious, we want you! What is the opportunity? As a Tech Infrastructure Intern, you will join RBC Tech Infrastructure as we automate processes within the bank by delivering enterprise-grade, data-intensive AI and GenAI solutions. You will work alongside your team in a real software development/product engineering environment, making lasting contributions our Production codebase. You will work daily with subject matter experts, receive technical and professional mentoring, and will present your work both to your direct team, but also to the larger Tech Infrastructure community and executive leadership. As a member of the Shared Platform Services (SPS) Team, you will play a critical role in the end-to-end software development lifecycle (SDLC), from gathering requirements and designing solutions to development, testing, deployment, and knowledge transfer to support teams. This is a unique opportunity to grow your expertise in machine learning infrastructure and work with a passionate, high-performing team committed to bringing AI and GenAI solutions to enterprise at scale!

  • Immerse yourself in the team’s business challenges to develop an innovative product.
  • Step outside your comfort zone, bringing your teamwork, communication, and collaboration skills to help your team succeed.
  • Work with cutting edge technology and paradigms to bring a scalable and future-forward solution to the bank.
  • Design, develop, and implement AI-enabled data ingestion applications and machine learning systems.
  • Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements.
  • Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability.
  • Implement LLM agents and deploy them on hybrid cloud environment.
  • Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes.
  • Pursuing a Bachelor’s, Master’s, or Doctoral Degree with a focus on computer science, engineering, data science, product engineering, or another related field.
  • Entering the final year of a four-year college or university program or relevant master’s program (candidates should be anticipating graduation in Winter 2026 or Spring 2027)
  • Excellent interpersonal and highly developed communication skills (verbal and written).
  • Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
  • Proficiency in programming languages such as Python or Java.
  • Experience working with relational databases (e.g., MSSQL, PostgreSQL, MySQL).
  • Familiarity with non-relational databases (e.g., Elasticsearch, MongoDB).
  • Experience building and maintaining AI and GenAI models.
  • Knowledge of the machine learning application deployment lifecycle, including CI/CD processes.
  • Exposure in deploying to hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure.
  • Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM).
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or scikit-learn.
  • Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, or MetaFlow.
  • Experience working in agile teams using methodologies like Scrum or Kanban.
  • We thrive on the challenge to be our best in a team-oriented, creative environment 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.
  • Hands-on experience working alongside experienced Technology professionals
  • Exposure to the different areas within Capital Markets
  • An understanding of RBC Capital Markets’ capabilities
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