Staff Engineer – Software Development, Architecture, Security & Governance

RBC • Toronto, ON

2d • Onsite

About The Position

We are seeking a highly skilled and experienced Staff Engineer to join our Enterprise Architecture team, leveraging their expertise in full-stack development, backend engineering, API design, and artificial intelligence to drive innovation and deliver cutting-edge solutions. As a Staff Engineer, you will have the opportunity to work and lead complex projects, collaborating with cross-functional teams to design, develop, and deploy production-grade applications that integrate AI capabilities, including RAGs and chatbots. The scope of this role is significant, as the solutions you develop will be used by all applications across the enterprise, impacting thousands of users and systems. You will play a critical role in ensuring that our organization meets regulatory requirements and maintains the trust of our customers and stakeholders.

Requirements

• Degree in Computer Science or Software Engineering.
• 7+ years of software engineering experience, including at least 2 years in a Staff or equivalent senior technical leadership role.
• Deep expertise in building and scaling distributed systems, frameworks, and internal platforms with a focus on reliability, observability, and performance.
• Strong proficiency in Python and/or experience in additional languages such as NodeJS, Java, or C++.
• Experience with AI/ML technologies, including LLMs, RAGs, and chatbots.
• Proven experience in driving complex technical initiatives across teams or domains, with strong system design skills and clear trade-off thinking.
• High standards for code quality, system design, and software architecture, along with a track record of mentoring others to meet those standards.
• Knowledge of software design patterns and coding best practices.

Nice To Haves

• Experience working with cloud infrastructure (AWS, Azure, or Google Cloud).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Knowledge with designing and building AI Agents.
• Experience with MLOps pipelines and products.
• Knowledge of data security and permissioning within AI systems.
• Knowledge of enterprise-level security concepts and methodologies, including SSO, SSL, encryption, Apigee, authentication and entitlements.

Responsibilities

• Design, build, and maintain scalable backend services using Python, FastAPI, and MongoDB, integrating AI orchestration systems and LLMs from OpenAI, Anthropic, and other providers.
• Develop and deploy AI-powered applications, including RAGs and chatbots, using frameworks like LangChain or similar.
• Collaborate with AI researchers, Software Architects, DevOps engineers, and product teams to translate AI capabilities into real-world applications, fostering a culture of experimentation and continuous improvement.
• Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure that power production-grade applications, including those based on large language models.
• Set technical direction for complex projects, owning outcomes end-to-end from inception to deployment and iterative improvement.
• Act as a force multiplier, mentoring engineers, setting engineering best practices, and elevating the technical bar across the organization.

Benefits

• 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.
• Opportunities to do challenging work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior