AI Engineering Lead – Fraud & AML Platforms

Royal Bank of Canada; Vancouver; On-site; CAD 140,000 - 180,000; Full time

Job summary

Royal Bank of Canada seeks a Senior Manager of AI Engineering (AML & Fraud) to lead a global team delivering scalable, production-ready AI solutions. You will drive end-to-end initiatives, champion cloud-native architectures on AWS/Azure/GCP, and mentor engineers while collaborating with business and technology leaders.

You will shape technical direction, manage stakeholders, and ensure compliance, security, and performance in a fast-paced banking environment.

Qualifications

• 7+ years leading an engineering team with hands-on coding.
• Strong technical background with integration testing and development in one or more languages (.Net, Java, Python).
• Proven cloud-native design and deployment on AWS, Azure, or GCP using Kubernetes and Docker.
• Experience scaling and monitoring cloud-based applications, reducing latency, and delivering production-ready solutions.
• Experience guiding API design, data orchestration, and ML fundamentals for engineering delivery.
• Incident response experience and knowledge of enterprise operations (Splunk, Elastic).
• Focus on performance, security, and regulatory compliance in solution architecture.
• Excellent stakeholder communication and ability to present executive updates.
• Proven Agile and Kanban delivery with predictable planning and execution.
• Knowledge of data governance, ethical AI, and regulatory considerations.

Responsibilities

• Pioneer end-to-end AI initiatives from prototyping to deployment across CNB Fraud and AML.
• Take technical ownership of Fraud and AML applications, including security hygiene and attestations.
• Lead, mentor, and grow a team of engineers and contractors; set technical direction and quality standards.
• Support integration testing, development, and architecture analysis; stay hands-on to unblock delivery.
• Lead integration of CNB US Functions apps into RBC Common Platform with global stakeholders.
• Translate business objectives into actionable technical strategies with leadership teams.
• Drive architecture decisions for integration needs focusing on performance, security, and compliance.
• Build and deploy cloud-native solutions on AWS/Azure/GCP using Kubernetes and Docker.
• Maintain knowledge of enterprise operations and monitoring to support health and incident response.
• Address ethical AI, data governance, and regulatory considerations in financial services.

Skills

AI/ML background

Cloud-native

Kubernetes & Docker

API design

Agile/Kanban

Incident response

Data governance

Stakeholder comms

Tools

Splunk

Elastic

Job description

Royal Bank of Canada seeks a Senior Manager of AI Engineering (AML & Fraud) to lead a global team delivering scalable, production-ready AI solutions. You will drive end-to-end initiatives, champion cloud-native architectures on AWS/Azure/GCP, and mentor engineers while collaborating with business and technology leaders.

You will shape technical direction, manage stakeholders, and ensure compliance, security, and performance in a fast-paced banking environment.