Senior Manager, AI Engineering (.NET)

Job Description

What is the opportunity?

The Senior Manager, AI Engineering will lead a team delivering engineering solutions for –Fraud, AML, Finance, and Risk 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, AML, Finance, and Risk 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
• Take technical ownership of 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
• Maintain a working understanding of enterprise operations, including shared services, Splu...

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