Senior Manager, AI Engineering (AML &Fraud)

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

Job Description

What is the opportunity?

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. In this role 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 and taking ownership of the applications you deliver.

You will build strong relationships with business and technology leaders across the organization, manage stakeholder expectations, and prepare executive updates. Your strong foundation in software development and cloud systems will allow you to stay hands-on and step in wherever delivery needs it most.

What will you do?

• Pioneer End-to-End solutions from prototyping to deployment, owning the full lifecycle of AI initiatives including architecture changes and committed timelines for core Fraud and AML CNB Functions technology areas
• Take technical ownership of Fraud and AML applications, including Application Control Assessments, data attestations, security vulnerability remediation, and operational hygiene
• 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, staying hands-on to unblock delivery and guide the team toward sound engineering decisions
• Lead the integration of CNB US Functions applications into RBC Common Platform, working with business stakeholders and Target Tech teams to ensure smooth adoption.
• Gather requirements and translate business objectives into actionable technical strategies, in partnership with business and technology leaders.
• Drive solution architecture and engineering design decisions for integration and platform needs, with a focus on performance, security, and compliance.
• Build and deploy cloud-native solutions on AWS, Azure, or GCP, using Kubernetes and Docker to ensure scalability and reliability
• Take technical ownership of Fraud and AML applications, including Application Control Assessments, data attestations, security vulnerability remediation, and operational hygiene
• Maintain a working understanding of enterprise operations, including shared services, Splunk, Elastic, and performance monitoring, to support application health and incident response.
• Address ethical AI, data governance, and regulatory considerations in financial services
• Prepare executive updates and manage stakeholder expectations across global teams
• Create & contribute to AI first mindset within team by coaching and mentoring colleagues
• Build and sustain strong relationships with stakeholders across global teams, translating complex technical information into clear, non-technical terms to support informed decision-making.

What do you need to succeed?

Must have:

• 7+ years of experience leading an engineering team, with a hands-on approach that stays close to the code and steps in to unblock delivery when needed
• Must have a strong technical background, with practical experience supporting integration testing, and development with one or more language (.Net, Java, Python)
• Proven track record of leading the design, build, and deployment of cloud-native solutions on AWS, Azure, or GCP, using Kubernetes and Docker, and guiding teams to scalable, reliable outcomes
• Experience leading teams that scale and deploy cloud-based applications, reduce latency, and monitor performance, owning solutions from development through to production
• Experience guiding teams on API design, function calling integration, and data orchestration, with a solid grounding in ML fundamentals to inform sound engineering and delivery decisions
• Experience supporting applications after go-live, including incident response and working knowledge of enterprise operations, such as Splunk, Elastic, and performance monitoring
• Experience making solution architecture and design decisions with a focus on performance, security, and compliance
• Strong relationship-building skills, with the ability to translate technical information into clear, non-technical terms and prepare executive updates
• Well versed in Agile and Kanban methodologies, with a proven record of driving technical delivery, managing sprint or flow-based planning, and keeping work predictable and on schedule.
• Understanding of data governance, ethical AI, and regulatory considerations

Nice to have:

• Exposure to fraud or AML domains, with an understanding of core concepts and banking terminology
• Experience operating within a regulated environment, with an underst