Senior Product Engineer

RBC; Toronto; On-site; CAD 120,000 - 150,000; Full time

Benefits offered by this job

Bonuses and flexible benefits

Development coaching and opportunities

Dynamic, collaborative, high‑performng

Opportunities across geographies

Job summary

RBC is seeking a Product Engineer to bridge product strategy and engineering excellence, shaping AI for enterprise operations in a hybrid Toronto-based role.

You will own solution design for intelligent agentic systems, drive technical strategy, and mentor development teams to build reliable, scalable AI-driven workflows that improve operational efficiency and employee experiences within the CODI program.

Qualifications

• Ability to design end-to-end technical solutions that balance business requirements, technical feasibility, and operational constraints.
• Fluency in Python, JavaScript, and/or Java.
• Strong hands-on experience with AI agent development (LLM integration, prompt engineering, agentic workflows).
• Proven experience with workflow automation platforms such as Camunda, Pega, or similar BPM/RPA tools, including design, implementation, and integration patterns.
• Track record of rapid prototyping and validation, moving from concept to working solutions quickly.

Responsibilities

• Translate product and business requirements into comprehensive technical solutions, mapping product vision to system architecture, technology stack decisions, and design patterns for operational AI use cases and automated workflows.
• Own the technical vision for intelligent agentic systems and the portal infrastructure that enables human interaction with agent-integrated workflows; drive decisions around RAG systems, prompt engineering, agent orchestration, and modern web development patterns (React, micro frontends)
• Think deeply about user problems and operational workflows; help define solutions rather than simply implementing requirements.
• Provide technical direction and mentorship to development teams; ensure solutions align with defined technical patterns, quality standards, and architectural governance
• Act as a knowledge engineer for enterprise knowledge, documentation, and retrieval systems that power AI assistants and search capabilities
• Evaluate prototyping outcomes, analyze usage patterns and operational behavior, identify technical risks and opportunities, and iterate on designs based on development insights and production learnings
• Conduct cost analysis across platforms and technical approaches; suggest improvements based on user behavior, operational efficiency, and enterprise constraints
• Partner with Solution Architects on governance and platform-level design; ensure application designs comply with enterprise standards while solving specific operational use case challenges
• Build working prototypes that demonstrate future state solutions to stakeholders and users; prototype and ship features quickly to validate concepts and gather feedback; balance innovation with production-grade reliability

Skills

Python

JavaScript

Java

AI agent development

Workflow automation

Tools

Camunda

Pega BPM

Pega RPA

Job description

Job Description

This is a foundational opportunity to deliver AI-driven operational transformation within RBC Operations Technology, with a strong emphasis on process automation and intelligent workflow design. You will join a team that thinks progressively and works collaboratively, shaping the technical direction of AI across the bank.

As a Product Engineer, you will bridge product strategy and engineering excellence, influencing how AI is built, deployed, and scaled to transform banking operations through sophisticated workflow automation. You will own the solution design and drive the technical strategy for intelligent agentic systems and automated workflows, improving operational efficiency and enhancing employee experiences within the CODI program. This hybrid role combines software development, AI integration, and deep workflow expertise to build reliable, scalable, and user-centric AI applications that drive next-generation operational efficiency.

What will you do ?

• Solution Design: Translate product and business requirements into comprehensive technical solutions, mapping product vision to system architecture, technology stack decisions, and design patterns for operational AI use cases and automated workflows. Work with Product Managers, Designers, and Engineers to understand requirements, propose technical approaches, and validate feasibility
• AI Agent & Portal Technical Ownership: Own the technical vision for intelligent agentic systems and the portal infrastructure that enables human interaction with agent-integrated workflows; drive decisions around RAG systems, prompt engineering, agent orchestration, and modern web development patterns (React, micro frontends)
• User-Centric Problem Solving: Think deeply about user problems and operational workflows; help define solutions rather than simply implementing requirements. Analyze user feedback and usage data to identify improvements and inform design decisions
• Development Support & Guidance: Provide technical direction and mentorship to development teams; ensure solutions align with defined technical patterns, quality standards, and architectural governance
• Enterprise Knowledge Systems: Act as a knowledge engineer for enterprise knowledge, documentation, and retrieval systems that power AI assistants and search capabilities
• Solution Validation & Iteration: Evaluate prototyping outcomes, analyze usage patterns and operational behavior, identify technical risks and opportunities, and iterate on designs based on development insights and production learnings
• Cost & Performance Analysis: Conduct cost analysis across platforms and technical approaches; suggest improvements based on user behavior, operational efficiency, and enterprise constraints
• Technical Governance Collaboration: Partner with Solution Architects on governance and platform-level design; ensure application designs comply with enterprise standards while solving specific operational use case challenges
• Rapid Prototyping: Build working prototypes that demonstrate future state solutions to stakeholders and users. Prototype and ship features quickly to validate concepts and gather feedback; balance innovation with production-grade reliability

What do you need to succeed ?

Must have:

• Ability to design end-to-end technical solutions that balance business requirements, technical feasibility, and operational constraints.
• Fluency in Python, JavaScript, and/or Java.
• Strong hands-on experience with AI agent development (LLM integration, prompt engineering, agentic workflows) specifically in orchestrating complex operational processes.
• Proven experience with workflow automation platforms such as Camunda, Pega, or similar BPM/RPA tools, including design, implementation, and integration patterns.
• Track record of rapid prototyping and validation, moving from concept to working solutions quickly.

Nice-to-have:

• 5+ years of modern full-stack web application development experience (React, API design, scalable systems)
• Understanding of enterprise banking operations and operational workflows.
• Experience with responsible AI, governance frameworks, and AI quality/monitoring.
• Background as a knowledge engineer or experience building enterprise knowledge and retrieval systems.

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
• 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
• Access to a variety of job opportunities across business and geographies

#LI

Job Skills

Active Learning, Agentic AI, Agile Methodology, Application Integrations, Camunda (Platform), Design Systems, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Large Scale System Design, Pega BPM, Pega Robotic Process Automation (RPA), Programming Languages, Prompt Engineering, ReAct Framework, RESTful API Design, Software Development Life Cycle (SDLC)

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY 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:

2026-09-01

Application Deadline:

2026-10-02

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.