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. 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 current 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 Experience with LLM orchestration, prompt engineering, agentic AI systems, or AI infrastructure Python and/or TypeScript engineering background with experience building production-grade platform infrastructure 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 Experience with graph databases, knowledge graphs, or federated data systems Familiarity with developer experience tooling, internal developer platforms, or software catalogs 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 A world-class training program in financial services Flexible work/life balance options Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design Additional Job Details Full time Platform: 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. #

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