Associate Director, AI Model Execution, AI Innovation-X at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

0.0

Posted On

07 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LangGraph, Claude Agent Skills, MCP, React, FastAPI, Kubernetes, LLM Fine-tuning, RLHF, Pydantic, TypeScript, Agentic Orchestration, DevOps, HITL, PEFT/LoRA, RLAIF

Industry

Financial Services

Description

Job Description As an Associate Director, you will drive the evolution of AI at RBC, transitioning from static models to Autonomous Agentic Workflows. You will orchestrate systems where AI agents collaborate to solve complex financial problems, utilizing LangGraph, Claude Agent Skills, and MCP. This role requires a high-level blend of full-stack engineering (React/FastAPI), Kubernetes deployment, and advanced model training (Fine-tuning/RL). What Will You Do? Agentic Orchestration: Architect multi-agent stateful workflows using LangGraph or equivalent frameworks to automate complex banking processes. Advanced Tooling: Implement Claude Agentic Skills and the Model Context Protocol (MCP) to enable secure agent interaction with RBC’s internal financial tools. AI (Human-in-the-Loop): Design "Human-in-the-loop" (HITL) patterns via React/TypeScript interfaces to ensure high-stakes financial decisions remain governed. Model Optimization: Lead LLM Fine-tuning (PEFT/LoRA) and Reinforcement Learning (RLHF) initiatives to specialize models for financial domain accuracy. Full-Stack & DevOps: Oversee the development of FastAPI (Pydantic) backends and manage their lifecycle on Kubernetes (K8s) clusters. Strategic Leadership: Mentor junior developers and align AI agent roadmaps with RBC’s broader Enterprise AI Strategy. What Do You Need to Succeed? Academic Requirements (Mandatory): Minimum of a Bachelor’s Degree in Computer Science, Data Science, Finance, or a related quantitative field (e.g., Mathematics, Engineering). A Master’s degree or PhD is strongly preferred. Must-Have Experience: Agentic Frameworks: Hands-on experience building cyclic agent workflows using LangGraph, or equivalent agent framework. Model Expertise: Deep understanding of the Claude ecosystem, Tool Use/Function Calling, Agent Skills and MCP implementation. Technical Stack: Mastery of Python (FastAPI/Pydantic), Backend API design(RESTful), React (TypeScript), and deploying containerized applications to Kubernetes. Training: Experience in fine-tuning LLMs and implementing RLHF/RLAIF pipelines. Seniority: 3+ years of professional engineering experience with a focus on AI/ML delivery. Nice-to-Have: Finance Background: Professional experience in Capital Markets, Wealth Management, or Risk Management. Cloud: Proficiency in Azure (AKS), Google Cloud(GCP) or AWS (EKS) within regulated environments. What’s in it for You? This is a high-impact, high-visibility role at the intersection of cutting-edge AI engineering and risk management. You will shape how GRM adopts agentic AI — defining the methodologies, building the systems, and developing the people. You will work alongside a collaborative team of AI innovators, risk professionals, and technology partners, with the mandate to drive meaningful and responsible AI transformation at scale. #LI-Post #LI-PK Job Skills AI Agents, Computer Science, Data Science, DevOps, Python (Programming Language) Additional Job Details Address: 180 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: GROUP RISK MANAGEMENT Job Type: Regular Pay Type: Salaried Posted Date: 2026-03-06 Application Deadline: 2026-03-25 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

Responsibilities

The Associate Director will drive the evolution of AI by orchestrating systems where AI agents collaborate to solve complex financial problems using frameworks like LangGraph and Claude Agent Skills. Key duties include architecting multi-agent workflows, implementing advanced tooling, designing Human-in-the-Loop patterns, and leading LLM optimization initiatives.