Job Description What is the prospect? 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.
What will you do? 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
What do you need to succeed? Must Have 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 Have 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
What's in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.




A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
Job Skills Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design Additional Job Details
Address 745 THURLOW ST:VANCOUVER City:
Vancouver Country:
Canada Work hours/week:
37.5 Employment Type:
Full time Platform:
TECHNOLOGY AND OPERATIONS Job Type:
Regular Pay Type:
Salaried Posted Date:
2026-08-11 Application Deadline:
2026-08-31 Note : *Applications will be accepted until 11:59 PM on the day prior to the application deadline date above*
Our Employment Opportunities At the company, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One the company. 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. the company strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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📌 AI Engineer - AI Platform Engineering (Ontario)
🏢 United States Digital Space
📍 Ontario