Senior Full-Stack Engineer: AI-Driven Integrations

Royal Bank of Canada; Vancouver; On-site; CAD 90,000 - 150,000; Full time

Job summary

Royal Bank of Canada is seeking a Senior Full Stack Engineer in AI Engineering to modernize how US corporate functions build and run tech. You'll work on back-end services, APIs, and integrations for Fraud, AML, Finance, and Risk, with a focus on secure, scalable, and well-maintained solutions.

You will contribute across the delivery lifecycle within CI/CD pipelines, leveraging .NET and Python, and deploying cloud-native AI/ML on AWS/Azure/GCP with Kubernetes/Docker; strong collaboration with

Qualifications

• 3+ years of Software Engineering experience with one of: .NET, Java, Python.
• 2+ years of Integration experience with SSO, security, and messaging (Kafka or MQ).
• Experience building and consuming APIs.
• Familiar with CI/CD within existing pipelines.
• Experience deploying cloud-native apps on AWS, Azure, or GCP; Azure preferred.
• Knowledge of cloud platforms and containers (Docker, Kubernetes).
• Ability to diagnose issues across environments with monitoring tools (Splunk, Elastic).
• Experience remediating security vulnerabilities and data attestations.
• Proficiency in SQL and handling large datasets.

Responsibilities

• Develop, test, and maintain back-end services, APIs, and integrations for Fraud, AML, Finance, and Risk.
• Implement integration components including SSO, security, and messaging (Kafka or MQ).
• Work primarily with the .NET stack, with Python scripting for automation.
• Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP and containerized deployments with Kubernetes/Docker.
• Contribute to CI/CD pipelines and participate in code reviews and deployments.
• Document designs, data flows, and support procedures; participate in security and regulatory control processes.

Skills

C#.NET

Java

Python

Tools

Kafka

MQ

Docker

Kubernetes

Splunk

Elastic

Azure

LangChain

Job description

Royal Bank of Canada is seeking a Senior Full Stack Engineer in AI Engineering to modernize how US corporate functions build and run tech. You'll work on back-end services, APIs, and integrations for Fraud, AML, Finance, and Risk, with a focus on secure, scalable, and well-maintained solutions.

You will contribute across the delivery lifecycle within CI/CD pipelines, leveraging .NET and Python, and deploying cloud-native AI/ML on AWS/Azure/GCP with Kubernetes/Docker; strong collaboration with