Job Description

What is the opportunity?

As the Senior AI Developer you will help build enterprise-scale autonomous AI agents that transform RBC's Site Reliability Engineering operations. You will engineer and ship intelligent agents using LangChain, LangGraph, and Claude or OpenAI that autonomously diagnose, resolve, and optimize production systems.

This is a pure engineering role: 100% hands-on development, taking agents from proof of concept through production deployment. You'll contribute directly to GAIA's (Guided AI Automation Platform) agentic architecture by developing reusable frameworks, proving technical patterns through working code, and creating cutting-edge agentic AI solutions including self-healing systems, automated incident resolution, and autonomous operations at enterprise scale. If you thrive on crafting robust, scalable agent implementations that deliver measurable operational impact, this role offers the technical depth and autonomy to do exceptional engineering work.

What will you do?

• Code, build, deploy, maintain and contribute to the architecture of enterprise-scale agentic AI solutions for scalable architecture and SLA maintenance
• Build autonomous agents that diagnose, resolve, and optimize production systems including self-healing infrastructure and dynamic disaster recovery
• Design multi-agent stateful workflows using LangChain, LangGraph, Claude Agentic Skills, and Model Context Protocol (MCP) with human-in-the-loop patterns
• Contribute to GAIA's Agentic Use Case Roadmap, prioritizing initiatives by business impact, technical feasibility, and ROI
• Demonstrate reusable frameworks through working code and share knowledge via Knowledge Sessions and Engineering Council presentations
• Implement automated incident resolution, compliance monitoring, and security remediation capabilities for production operations
• Ensure every key architectural decision is backed by working code with zero delegation-only work

What do you need to succeed?

Must-have

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related quantitative field
• 2-3 years professional software engineering experience with 1-2+ years focused on Gen AI, AI agents, and autonomous systems development
• Expertise with LangChain and LangGraph frameworks; proven experience with production-grade agentic systems (CrewAI, AutoGen)
• Python mastery (FastAPI, Pydantic, async programming), backend API design (RESTful, GraphQL), and React/TypeScript for HITL interfaces
• Knowledge of LLM orchestration, tool use/function calling, multi-agent workflows, prompt engineering, and RAG architectures

Nice-to-have

• Proficiency in Azure, AWS, or GCP within regulated/enterprise environments and experience with Infrastructure as Code (Terraform, Ansible)
• Understanding of SRE principles, frameworks, observability, incident management, and reliability engineering practices
• Knowledge of monitoring concepts (logs, metrics, traces, telemetry) and observability tools (Dynatrace, Elastic Stack, Prometheus, Grafana)
• Hands-on DevOps experience and familiarity with production operations challenges including incident response and disaster recovery

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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

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Job Skills

AI Agents, Cloud Computing, Database Development, Data Warehousing (DW), ETL Processing, Generative AI Agents, Group Problem Solving, Intelligent Agents, LangChain (FrameWork), LangGraph, Python (Programming Language), Python Frameworks, Python Software Development, Quality Management, Red Hat Ansible, Red Hat OpenShift, Requirements Analysis, Responsive AI Agents, System Designs

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:

2026-04-13

Application Deadline:

2026-05-15

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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.