AI Engineer - Full Stack Agentic UX

RBC; Toronto; On-site; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Total rewards program

Flexible benefits

Training program

Career growth

Job summary

RBC in Toronto seeks a skilled software engineer to design and build enterprise AI experiences on our platform. You will craft human-agent interaction patterns, integrate AI capabilities with enterprise systems, and shape onboarding for diverse users.

You will implement end-to-end AI-driven workflows, emphasize trust, explainability, and user control, and collaborate with cross-functional teams to deliver scalable platform-powered solutions.

Qualifications

• Full-stack Python and/or TypeScript background with production-grade tools.
• UX design sensibility to translate complex workflows into accessible patterns.
• Understanding of trust calibration, transparency, and user control in AI-driven experiences.
• Experience building integrations with REST, GraphQL and SOAP for enterprise systems.
• Ability to work across solution architects, business analysts, and project managers.

Responsibilities

• Design and develop human-agent interaction patterns atop the platform with progressive autonomy and explainable rationale.
• Build AI-driven capabilities using the orchestration layer to automate complex workflows and human-AI coordination.
• Design trust and transparency mechanisms including confidence signals and audit trails.
• Create enterprise integrations with corporate platforms such as project management and collaboration tools.
• Shape onboarding, progressive disclosure and feedback patterns for diverse user personas.
• Design capability development lifecycle from authoring to deployment for scalable workflows.
• Create extensibility models to allow teams and community contributions to be deployed atop the platform.
• Partner with platform engineering to align capabilities with governance and distribution infrastructure.

Skills

Full-stack Python

TypeScript

UX design

AI/LLM familiarity

REST GraphQL SOAP

Cross-functional teamwork

Tools

REST

GraphQL

SOAP

Enterprise integrations

Job description

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?

• 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.