An enterprise AI platform that orchestrates knowledge, governance, and multi-step agent workflows is only as valuable as the experiences built on top of it. As organizations move from AI assistants to semi-autonomous and autonomous agents, the experiences you deliver will determine whether teams adopt AI or walk away from it. Candidates best suited bring full-stack engineering depth, empathy for how humans interact with AI, and the ability to design workflows that earn trust within a regulated financial services environment.

Design and develop human-agent interaction patterns atop the platform, applying principles of progressive autonomy, intent previews, and explainable rationale so practitioners stay in control while the AI manages technical complexity. Build full-stack AI-driven capabilities that leverage the platform orchestration layer to automate complex workflows, calibrating the right level of human-AI coordination for each task, whether cooperative, automated, or discretely assisted. Design trust and transparency mechanisms including confidence signals, action audit trails, and escalation pathways that give users visibility into what the AI is doing and why.

Build enterprise integrations atop the platform that connect AI capabilities to corporate platforms including project management, collaboration, source control, and communication tools. Shape onboarding, progressive disclosure, and feedback patterns that make the platform accessible and trustworthy for diverse user personas across varying levels of AI familiarity. Design and implement the capability development lifecycle from authoring and testing through quality validation and deployment, enabling a scalable catalog of platform-powered workflows.

Create extensibility models that allow teams and community contributors to author, share, and deploy custom capabilities atop the platform.



Partner with platform engineering to ensure capabilities and integrations align with the orchestration, governance, and distribution infrastructure. Full-stack Python and/or TypeScript engineering background with experience building production-grade user-facing tools and integrations.

UX design sensibility with the ability to translate complex agentic workflows into simple, accessible interaction patterns for diverse user personas. Understanding of human-agent interaction principles including trust calibration, progressive autonomy, transparency, and user control in AI-driven experiences. Familiarity with AI/LLM-powered tools, prompt engineering, or agentic AI development patterns.

Experience building integrations with enterprise APIs (REST, GraphQL, SOAP) and corporate systems. Ability to work across cross-functional teams including solution architects, business analysts, and project managers.

Experience designing for AI-powered products such as copilots, agents, or intelligent workflow tools where user trust and transparency are central to the experience.

Background in design systems, component architecture, or building AI-consumable design patterns. Familiarity with developer experience tooling, internal developer platforms, or plugin ecosystems. 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 Employment Type: Full time 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. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. #

📌 AI Engineer - Full Stack Agentic UX (Toronto)
🏢 Socket.dev
📍 Toronto