RBC Borealis
Finance
StaffAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff AI Engineer at RBC Borealis. Skills: agentic AI systems, Large Language Model (LLM) applications, AI systems architecture, LLM integration pipelines, distributed systems, containerization technologies, DevOps pipelines, cloud environments, on-premise systems. Designing, building, and optimizing agentic AI systems and LLM-powered applications that drive business value. Designing and implementing best practices and standards for AI systems architecture, including agent frameworks and LLM int”
What You'll Achieve.
drive business value; make a difference and lasting impact from a local-to-global scale; solve critical challenges in the financial industry; building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank
Industry & Context.
Self-directed problem-solving mindset; ability to figure out solutions; Group Problem Solving
What They're Looking For.
Must Have
Professional software development experience with advanced proficiency, Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS, Experience designing and implementing distributed systems, Hands-on experience with containerization technologies (Docker, Kubernetes) and orchestration, Knowledge of event streaming platforms, Experience with DevOps pipelines such as GitHub/GitHub Actions, Engineering optimization skills to maximize performance from existing, Expertise with agentic AI frameworks (LangChain/LangGraph are ideal), Deep knowledge of AI systems design and LLM, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis
Nice to Have
UI development expertise with React and JavaScript, Background in data engineering or data
What You'll Do.
and optimizing agentic AI systems and LLM-powered applications that drive business value
Designing and implementing best practices and standards for AI systems architecture
including agent frameworks and LLM integration pipelines
Collaborating with engineers and AI researchers to architect
integrate and deploy AI applications
Supporting applications and projects with infrastructure design decisions
Building highly scalable
resilient cloud and on-premise systems for hosting AI and LLM systems using state-of-the-art
Translating business requirements into viable solutions through relationship-building
cross-functional collaboration
and navigating complex enterprise environments
How You'll Work.
Team & Collaboration
Collaborating with engineers and AI researchers; cross-functional collaboration; develop cross-functional relationships; working collaboratively; winning together as One RBC
Communication Scope
Excellent communication and collaboration skills; communication skills
Process & Methodology
drive solutions, chart paths forward
Full Job 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 distrib
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