Job Title

Job Description Staff Data/AI Engineer role What's the opportunity? Were looking for a Staff Data/AI Engineer to join RBC Borealis to design and implement AI solutions across Personal Banking & Commercial Banking. In this role, you will build and scale advanced data and ML engineering pipelines, agentic AI systems, and Large Language Model (LLM) applications. You will ensure solutions are secure and grounded in highquality, trusted data. Working closely with business and platform teams, you will translate complex banking problems into deployable AI systems that are reliable, explainable, and compliant. This is a unique opportunity to work with a team of passionate builders committed to bringing advanced AI into the enterprise at scale. Your responsibilities include: - Build and maintain scalable batch and streaming data pipelines to ingest, transform, and curate highquality datasets for AI and agentic workflows - Implement DataOps and MLOps automation, including CI/CD pipelines, data validation checks, ML model deployment, monitoring, and drift detection - Develop and integrate AI services such as LLMpowered APIs, retrievalaugmented generation (RAG) pipelines, and agent orchestration logic into secure, productiongrade environments - Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads - Write productionquality code, conduct code reviews, troubleshoot performance issues, and continuously improve system reliability, scalability, and observability You're our ideal candidate if you have: - Bachelors degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in data, software, ML, or AI engineering - Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark) with strong software engineering fundamentals, including version control, testing, and code review best practices - Experience developing and integrating AIpowered systems such as LLM applications, RAG pipelines, or agentbased workflows into secure, production environments - Deep understanding of data modeling, distributed systems, storage optimization, and performance turning for largescale AI and analytics workloads - A solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support, and monitoring - Excellent collaboration and communication skills, with the ability to translate ambiguous business problems into wellstructured technical designs, collaborating effectively with product, platform, and crossfunctional engineering teams What's in it for you? - Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential. - A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable. - Leaders who support your development through coaching and managing opportunities. - Ability to make a difference and lasting impact from a localtoglobal scale. About RBC Borealis RBC Borealis is the driving force behind Royal Bank of Canadas AI and data innovation. As part of Canadas largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through worldclass research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, were at the forefront of AI research and platform development. With a focus on cuttingedge 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, datadriven 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 ative American status or any other legallyprotected factors. Disabilityrelated accommodations during the application process are available upon request. #TECHPJ #LlPOST Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis 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: 2026-03-03 Application Deadline: 2026-03-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Join our Talent Community Stay intheknow 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 wellbeing of our clients and communities at jobs.rbc.com. 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. #J-18808-Ljbffr