# Senior Manager, AI Engineering (AML & Fraud)

**Company**: Royal Bank of Canada (RBC)
**Location**: Vancouver
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/745-THURLOW-STVANCOUVER/Senior-Manager--AI-Engineering--AML--Fraud-_R-0000191833-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-manager-ai-engineering-aml-and-fraud-61dc3d78-104/

## Description

The Senior Manager, AI Engineering (AML & Fraud) will lead a team delivering engineering solutions for fraud and AML capabilities across global groups. The role combines hands-on technical work with people leadership and stakeholder relationship management.

This role plays a pivotal part in reshaping the future of US Corporate Functions through cutting-edge technology. You will lead a team of engineers, setting technical direction and ensuring successful delivery of scalable, production-ready solutions. You will champion the adoption of AI, machine learning, and emerging technologies, while driving the integration of CNB US Functions technology in Fraud and AML with RBC Enterprise offerings.

**Responsibilities:**

- Pioneer End-to-End solutions from prototyping to deployment, owning the full lifecycle of AI initiatives

- Take technical ownership of Fraud and AML applications, including Application Control Assessments and security vulnerability remediation

- Lead, mentor, and grow a team of engineers and contractors, setting technical direction and quality standards

- Support the team through integration testing, development, and architecture analysis

- Lead the integration of CNB US Functions applications into RBC Common Platform

- Gather requirements and translate business objectives into actionable technical strategies

- Drive solution architecture and engineering design decisions for integration and platform needs

- Build and deploy cloud-native solutions on AWS, Azure, or GCP

- Maintain a working understanding of enterprise operations, including shared services and performance monitoring

- Address ethical AI, data governance, and regulatory considerations in financial services

- Prepare executive updates and manage stakeholder expectations across global teams

**Requirements:**

- 7+ years of experience leading an engineering team with a hands-on approach

- Strong technical background with practical experience supporting integration testing and development

- Proven track record of leading the design, build, and deployment of cloud-native solutions

- Experience leading teams that scale and deploy cloud-based applications

- Experience guiding teams on API design, function calling integration, and data orchestration

- Strong relationship-building skills and ability to translate technical information into clear, non-technical terms

- Well-versed in Agile and Kanban methodologies

- Understanding of data governance, ethical AI, and regulatory considerations

**Nice to Have:**

- Exposure to fraud or AML domains

- Experience operating within a regulated environment

- Experience with Large Language Models (LLMs) and transformer-based architecture

- Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases

- Familiarity with Python and AI frameworks

- Familiarity with AI decision-making frameworks and multi-agent problem-solving strategies

**What's in it for you:**

- Comprehensive Total Rewards Program including bonuses and flexible benefits

- Competitive compensation and stock options

- 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

For more fresh new jobs, check out [yubhub.co](https://yubhub.co/).

## Skills

### Required
- Cloud Computing
- Database Development
- Data Mining
- Data Warehousing (DW)
- ETL Processing
- Quality Management
- Requirements Analysis
- .Net
- Java
- Python
- Kubernetes
- Docker
- AWS
- Azure
- GCP
- Splunk
- Elastic
- Agile
- Kanban

### Nice to have
- Large Language Models (LLMs)
- transformer-based architecture
- Retrieval-Augmented Generation (RAG) systems
- vector databases
- AI frameworks
- LangChain
- AutoGen
- CrewAI

---

Source: [Apply at rbc.wd3.myworkdayjobs.com](https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/745-THURLOW-STVANCOUVER/Senior-Manager--AI-Engineering--AML--Fraud-_R-0000191833-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)