Director, Generative AI Software Engineering
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Job Summary
Job Description
We are looking for a hands-on Technical AI Leader with a strong software engineering background and practical experience integrating AI into the software development lifecycle. You will lead our efforts to transform how engineering teams across the organization build software by developing a horizontal prompt library and scaling toward agentic AI systems tailored to various tech stacks. This role sits in our Commercial Core Banking and Payments division.
You will work at the intersection of software engineering and AI enablement, applying tools such as GitHub Copilot, Amazon Q, Helios Assist, and others to real-world development workflows, building reusable prompt patterns, and later leading automation through LLM-powered agents. This is a newly created role with greenfield opportunities!
What you will do
Lead technical development of AI-enhanced engineering practices across application development teams.
Build and maintain a centralized prompt engineering library (horizontal use cases) that can be used across various domains and tech stacks.
Customize, refine, and optimize prompts for tools like GitHub Copilot, Amazon Q, Helios Assist, etc.
Collaborate with software engineers to identify areas where AI can increase productivity, code quality, and development velocity.
Prototype and lead evolution toward agentic models (AI-powered autonomous development assistants) that integrate into CI/CD workflows.
Set standards, patterns, and guidelines for scalable, safe, and effective prompt engineering practices.
Work closely with platform, security, and architecture teams to ensure alignment and compliance
What you need to succeed
Must have
Minimum of 7 years of software engineering experience in full-stack or backend development. Minimum of 2 years of leadership experience
Minimum of 2 years of hands-on experience using AI coding tools such as GitHub Copilot, Amazon Q, Helios Assist, or similar
Strong understanding and experience in delivering software development by prompt engineering, context design, and LLM-driven development
Familiarity with agent-based architectures or autonomous agents is a strong plus.
Deep knowledge of one or more modern programming languages (e.g., Python, Java, JavaScript/TypeScript, C#).
Proven ability to drive change across engineering teams, with a builder’s mindset and a passion for developer experience.
Excellent communication and collaboration skills, with experience leading cross-functional technical initiatives
Bachelor’s degree CompSci or related degree compliance
Nice to Have:
Experience working with AI platforms such as OpenAI, Anthropic, or Hugging Face.
Exposure to software development metrics and productivity tooling.
Experience in cloud-native development (AWS, Azure, or GCP).
Background in platform engineering or developer enablement.
Prior experience in banking, brokerage and/or fintech
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
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work
#LI-POST
#TECHPJ
Job Skills
Application Development, Application Maintenance, Applications Architecture, Commercial Acumen, Engineering Practices, Enterprise Application Delivery, Generative AI, Information Technology Management, Information Technology Trends, Programming Languages, Prompt Engineering, Software Code Quality, Software Development, Software Development Life Cycle (SDLC), Software Engineering, System ApplicationsAdditional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2025-07-25Application Deadline:
2025-09-29Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anthropic Architecture AWS Azure Banking CI/CD Copilot Engineering FinTech GCP Generative AI GitHub Java JavaScript LLMs OpenAI Prompt engineering Python SDLC Security TypeScript
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.