Staff AI Engineer at Dr Bill RBC Ventures

Calgary, Alberta, Canada -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI systems, LLM architectures, Python, Distributed systems, Docker, Kubernetes, Kafka, GitHub Actions, React, JavaScript, Data engineering, AWS, Azure, Cloud computing, System architecture, Infrastructure design

Industry

Banking

Description

Job Description What's the opportunity? We're looking for an experienced AI Engineering Lead who will bring focus and subject-matter expertise around designing and implementing agentic AI systems and Large Language Model (LLM) applications. This is a unique opportunity to lead the development of next-generation AI technologies and work with a team of passionate individuals committed to the mission of bringing advanced AI to enterprise. At RBC Borealis, you'll be joining a team that works directly with leading researchers in AI and machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as agentic AI systems, LLM applications, and responsible AI. You can find out more about our research areas at rbcborealis.com. Your responsibilities include: Designing, building, and optimizing agentic AI systems and LLM-powered applications that drive business value at scale; Designing and implementing best practices and standards for AI systems architecture, including agent frameworks and LLM integration pipelines across the organization; Collaborating with engineers and AI researchers to architect, build, integrate and deploy AI applications at scale; Supporting applications and projects with infrastructure design decisions, optimization, and monitoring solutions; Building highly scalable, resilient cloud and on-premise systems for hosting AI and LLM systems using state-of-the-art technologies; Translating business requirements into viable solutions through relationship-building, cross-functional collaboration, and navigating complex enterprise environments. You're our ideal candidate if you have: Strong expertise with agentic AI frameworks (LangChain/LangGraph are ideal); Deep knowledge of AI systems design and LLM architectures; Professional software development experience with advanced proficiency in Python; Experience designing and implementing distributed systems at scale; Hands-on experience with containerization technologies (Docker, Kubernetes) and orchestration tools; Strong knowledge of event streaming platforms such as Kafka; Experience with DevOps pipelines such as GitHub/GitHub Actions UI development expertise with React and JavaScript (a plus); Background in data engineering or data infrastructure; Engineering optimization skills to maximize performance from existing infrastructure; Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure; Excellent communication and collaboration skills with the ability to independently navigate enterprise complexity, develop cross-functional relationships, uncover tribal knowledge, and drive solutions forward; Self-directed problem-solving mindset with the ability to figure out solutions and chart paths forward in complex organizational settings. 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 local-to-global scale. 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 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: 335 8 AVE SW:CALGARY City: Calgary Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-02-25 Application Deadline: 2026-04-30 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 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Design, build, and optimize agentic AI systems and LLM-powered applications to drive business value at scale. Collaborate with researchers and engineers to architect, deploy, and maintain resilient AI infrastructure within enterprise environments.