Lead, Full Stack Engineer

RBC; Vancouver; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Total Rewards Program (bonuses, stock)

Coaching & development opportunities

Challenging, impactful work

Job summary

RBC is seeking a Lead, Full Stack Engineer within AI Engineering to build and guide a high-performing team. You will modernize .NET apps, introduce AI-driven tools, and ensure secure, scalable integrations across SSO, messaging, and data services.

Expect hands-on leadership, architecture ownership, and collaboration across Finance, Risk, Law, and Audit functions. You will drive cloud-native deployments on AWS/Azure/GCP, develop data pipelines, and mentor engineers while aligning initiatives with

Qualifications

• Proven leadership of engineering teams with delivery accountability.
• Strong background in .NET, Java, or Python development.
• Experience designing and delivering APIs, web services, and secure integrations.
• Experience migrating apps to cloud and running hybrid environments.

Responsibilities

• Lead hands-on development and team management for API and integration projects.
• Drive migration of .NET apps from on-premises to Azure and cloud hybrids.
• Guide AI/ML solutions and agentic tools within enterprise-scale platforms.
• Own architectural decisions for performance, security, and compliance in SSO, Kafka/MQ messaging.

Skills

Engineering leadership

Software engineering

APIs & microservices

Cloud migration & architecture

Tools

Kubernetes

Docker

Azure

AWS

GCP

Job description

What is the opportunity?

The

Job Description

What is the opportunity?

The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers scalable, production-ready solutions. You will lead modernizing .NET applications, bring AI and agentic tools into everyday engineering, and drive CNB US Functions technology into the RBC Enterprise ecosystem, owning every modernization solution from concept to production. You will work at the core of data, APIs, and web services, delivering secure, high-impact integration across SSO, security, and messaging through Kafka or MQ. You will drive and lead the integration of CNB entities, working with teams to ensure seamless business adoption. You will also apply cutting-edge technologies to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit.

What will you do?

• Innovate at the forefront, applying cutting-edge technologies, including AI and agentic tools, to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit
• Drive the migration of .NET applications from on-premises to Azure, designing and building hybrid solutions that remain reliable, secure, and scalable across both environments
• Provide hands-on development and management of application integration plans, incorporating AI solutions where they add value, from conception through production deployment, with committed delivery timelines.
• Drive solution architecture and design for APIs, web services, SSO and security, and messaging (Kafka or MQ), with a focus on performance, security, and compliance
• Build and maintain back-end APIs and web services, delivering heavy integration work across SSO and security, and messaging through Kafka or MQ.
• Drive and lead the integration of CNB entities, ensuring seamless business adoption of target solutions in collaboration with Target Tech teams
• Consolidate applications from CNB Finance & Audit Tech to Target RBC Common Platform through strategic alignment with business stakeholders
• Carry out substantial data work, including scripting (Python) and data pipeline development
• Lead, mentor, and grow a team of engineers setting technical direction and quality standards.
• Maintain a working understanding of enterprise operations, including shared services, Splunk, Elastic, and performance monitoring
• Champion cross-functional collaboration by leading discussions with business stakeholders to gather requirements, refine visions, and align AI initiatives with strategic goals to translate into actionable AI strategies
• Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc.

What do you need to succeed?

• 7+ years leading an engineering team, staying hands-on and stepping in to unblock delivery when needed
• Software engineering background with at least one of the following languages: .NET, Java, or Python
• Solid experience building and integrating APIs and web services across SSO, security, and messaging through Kafka or MQ, with the ability to drive architecture and design decisions focused on performance, security, and compliance
• Proven experience migrating applications from on-premises to cloud platforms (Azure, AWS, or GCP) and designing and running hybrid solutions across both environments
• Skilled at translating business requirements into technical roadmaps, and identify AI-driven transformation opportunities aligned with enterprise strategy
• Strong data skills, including experience with ETL, data orchestration, Python scripting, or building data pipelines
• Experience developing and deploying cloud-native solutions using Kubernetes and Docker, with exposure to AI or ML solutions in production
• Experience delivering integration plans to committed timelines, including managing architecture changes
• Ability to partner with enterprise and business stakeholders, gather requirements, and align technical work with strategic goals

Nice to have:

• Experience scaling and deploying AI applications in cloud environments with model optimization, latency reduction, and performance monitoring
• Experience with Retrieval-Augmented Generation (RAG) systems and vector databases for knowledge retrieval
• Solid foundation in prompt engineering and AI based SDLC (Claude, GitHub Copilot)
• Familiarity with Python and AI frameworks (LangChain, AutoGen, CrewAI)
• Understanding of AI agent architectures, autonomous decision-making systems, and multi-agent collaboration frameworks

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• 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.
• Opportunities to do challenging work

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address

745 THURLOW ST:VANCOUVER

City

Vancouver

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

TECHNOLOGY AND OPERATIONS

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-11-06

Application Deadline

2026-11-26

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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