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Principal Engineer - Agentic AI

Job in Vancouver, BC, Canada
Listing for: ODAIA
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
Job Description
We're looking for an experienced Principal Engineer with deep expertise in agentic AI systems who will bring technical leadership, hands‑on building capabilities, and strategic advisory guidance to accelerate agentic AI adoption across RBC. This is a unique opportunity to shape enterprise AI strategy, deliver production‑grade solutions, and build organizational capability in emerging agentic technologies.

At RBC Borealis, you'll be joining a team that bridges Lines of Business with our cutting‑edge Borealis agentic AI platform. You'll work directly with business stakeholders, platform engineers, and technical teams to deliver high‑impact solutions while influencing platform evolution based on real‑world deployment insights.

Your responsibilities include:

Conducting discovery with LoB stakeholders to translate business challenges into agentic AI use case specifications and solution architectures

Developing end‑to‑end agentic AI solutions including architecting system components, writing production code, designing RAG pipelines, implementing agent orchestration, and ensuring security/compliance

Serving as a bidirectional advocate between Lines of Business and Borealis platform engineering to identify capability gaps and prioritize platform roadmap enhancements

Designing and delivering technical enablement programs to build LoB team independence and organizational agentic AI capability

Providing architectural guidance, code reviews, and mentoring to LoB engineering teams during collaborative solution development

Leading production deployments, post‑deployment optimization, and contributing reusable components back to shared platforms

Participating in EA governance and community of practice to identify synergies and shape reference architectures

You're our ideal candidate if you have:

12+ years of combined experience in software architecture, enterprise AI/ML systems, cloud platforms, and consulting roles; including 3-5 years hands‑on with agentic AI systems, LLMs, and modern AI/ML frameworks

Advanced expertise in agentic AI architecture, design patterns, and implementation (React, ReAct, Tool Use, multi‑agent orchestration)

Proficiency in Large Language Models (LLMs), prompt engineering, fine‑tuning, and advanced prompting techniques

Advanced expertise in Retrieval Augmented Generation (RAG) systems, vector databases, embeddings, and knowledge architectures

Advanced Python programming skills with ability to write production‑grade, maintainable code

Hands‑on experience designing and implementing Model Context Protocol (MCP) servers and enterprise system integrations

Knowledge of cloud platform architecture, deployment, and Dev Ops practices (AWS, Azure, GCP)

Experience with containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure as code

Knowledge of enterprise security, compliance, data governance, and secure coding practices

Proven ability to drive technical strategy, influence stakeholders with competing interests, and facilitate cross‑functional alignment

Strong consulting and stakeholder management skills with ability to understand business problems, communicate trade‑offs, and adapt technical approaches

Demonstrated mentoring and enablement capability with strong communication, presentation, and facilitation skills

Comfort with ambiguity in the rapidly evolving AI/ML landscape and ability to work in Agile environments

What's in it for you?

Become part of a strategic team driving RBC's enterprise AI transformation and competitive positioning

Work on cutting‑edge agentic AI technology with access to leading researchers, rich datasets, and significant computational resources

Immediate impact on high‑visibility, high‑value business initiatives across the enterprise

Leaders who support your development through mentoring and strategic career opportunities

Ability to shape platform strategy and influence enterprise‑wide AI adoption

Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, and stock options where applicable

About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s…
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