AI Engineer - AI Platform Engineering

RBC • Vancouver, BC

17h • Onsite

About The Position

This role is responsible for designing, building, and hardening platform infrastructure that powers enterprise agentic AI systems and persona-driven workflows to optimize productivity and efficiency. You will work across the full stack of an AI platform, including orchestration, knowledge management, governance, and distribution. The platform enables AI agents to understand user intent, assemble organizational knowledge, and deliver compliant, production-grade process outcomes.
This is a foundational engineering role for anyone passionate about building the infrastructure that makes AI work reliably at enterprise scale in a regulated financial services environment.

Requirements

• Experience with LLM orchestration, prompt engineering, agentic AI systems, or AI infrastructure
• Familiarity with knowledge management systems, retrieval-augmented generation (RAG), or information retrieval
• Python and/or TypeScript engineering background with experience building production-grade platform infrastructure
• Understanding of enterprise governance, audit trails, and compliance requirements in regulated industries
• Experience with CI/CD pipelines, build systems, and multi-platform distribution
• Ability to design extensible architectures and communicate technical concepts to both technical and non-technical stakeholders

Nice To Haves

• Cross-platform development experience and familiarity with IDE extension or plugin ecosystems
• Experience with graph databases, knowledge graphs, or federated data systems
• Background in financial services technology or other regulated industries
• Familiarity with developer experience tooling, internal developer platforms, or software catalogs

Responsibilities

• Design and build AI orchestration infrastructure that routes requests, manages multi-stakeholder context, and coordinates multi-step long-running agent workflows across enterprise environments
• Develop knowledge management and retrieval systems that enable AI agents to reason across codebases, documentation, and organizational knowledge sources
• Build and maintain packaging, validation, and deployment pipelines that distribute AI capabilities across development tools and platforms
• Implement governance and compliance frameworks including audit trails, policy enforcement, traceability, and quality scoring for regulated environments
• Design extensible architectures that allow new AI capabilities and integrations to be registered, validated, and activated dynamically
• Ensure platform reliability through edge case handling, graceful failure recovery, and performance optimization behind corporate infrastructure
• Develop conventions, standards, and architectural patterns that maintain consistency as the platform scales across teams
• Collaborate with cross-functional teams to align platform capabilities with the needs of solution architects, analysts, developers, and project managers

Benefits

• bonuses
• flexible benefits
• competitive compensation
• commissions
• stock where applicable
• Leaders who support your development through coaching and managing opportunities
• A world-class training program in financial services
• Flexible work/life balance options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed