Senior AI Product Engineer: Intelligent Workflows

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

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.