AI Engineer - Full Stack Agentic UX

Job Description

What is the Opportunity?

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. You will design and build those experiences: the agentic capabilities/skills, integrations, and conversational interaction patterns that turn platform infrastructure into productivity gains practitioners can see and trust. 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.

What will you do?

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 collaborative, 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

What do you need to succeed?

Must Have

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

Nice to Have

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

Experience in financial services technology or other regulated industries with governance and compliance requirements

Familiarity with developer experience tooling, internal developer platforms, or plugin ecosystems

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:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

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 RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. 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. RBC 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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.