WHAT IS THE OPPORTUNITY?
Be the organization's foremost practitioner and technical authority on AI platform engineering. As an AI Engineer, you'll design systems that enable teams across the organization to move at speed and solve the most complex technical challenges at the intersection of AI, infrastructure, and security. In this role, you will work hands-on to build the API platforms and infrastructure that scale AI beyond proof-of-concept into production at enterprise scale
WHAT WILL YOU DO?
Create AI platform architecture, owning infrastructure design, component composition, and platform evolution
API gateway design, LLM access patterns, model serving infrastructure, and integration frameworks
Build, and own the enterprise AI API layer including internal APIs and SDKs providing standardized, secure access to AI capabilities across the organization
Build on the established API design standards, versioning policies, and deprecation protocols ensuring the platform's interfaces are reliable, developer-friendly, and maintainable
Create integration of external AI services, including Anthropic Claude API and other LLM providers, ensuring connectivity is secure, governed, and operationally robust
Design API gateway and rate-limiting framework for LLM access, balancing cost controls, fairness, and service reliability under variable load
Set and uphold technical standards for AI platform engineering by establishing coding standards, design principles, testing requirements, and documentation expectations
Develop technical guides, engineering playbooks, and reference implementations that give development teams a clear starting point for common AI patterns
WHAT DO YOU NEED TO SUCCEED?
Must have:
8+ years software or platform engineering experience, with at least 5 years focused on AI/ML infrastructure, API platform engineering, or large-scale distributed systems
Demonstrated track record designing and delivering enterprise-grade AI platforms with direct, hands-on engineering contribution at the most complex levels
Deep expertise in LLM API integration and production deployment (Anthropic Claude, OpenAI, Azure OpenAI, or equivalent at enterprise scale)
Strong proficiency in API design and gateway engineering including RESTful patterns, authentication/authorization frameworks (OAuth2, JWT), rate limiting, and observability
Hands-on experience with vector databases and RAG pipeline architecture (Pinecone, Weaviate, pgvector, Chroma, or equivalent)
Nice-to-have:
Experience operating in regulated industries (financial services, healthcare) with familiarity of compliance and security constraints for AI infrastructure
Hands-on experience implementing AI security controls including prompt injection mitigation, output filtering, and PII detection
Familiarity with AI governance frameworks and responsible AI engineering practices including model audit logging and fairness monitoring
Experience with MLOps platforms and model serving infrastructure (Azure ML, AWS SageMaker, Databricks, MLflow, BentoML, or equivalent)
Contributions to open-source AI/platform engineering projects or technical publications at recognized forums
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
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job Details
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-04-03
2026-06-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
