Senior Director AI, Solutions Platform
Royal Bank of Canada View all jobs
- Toronto, ON
- Permanent
- Full-time
- Design a microservices-based platform architecture with clear API contracts, defined service boundaries, and modularity to evolve rapidly without accruing technical debt
- Define data flow patterns, event streaming infrastructure, and asynchronous processing capabilities supporting both real-time and batch AI workloads at enterprise scale
- Architect for high availability with multi-region failover, intelligent load balancing, and resilience patterns meeting production financial services uptime requirements
- Implement low-code/no-code application builder with form-based configuration interfaces allowing business analysts to build and deploy AI workflows without engineering dependency
- Design and maintain comprehensive REST and gRPC APIs with Python, Java, Go, and Node.js SDKs that enable developers to integrate AI capabilities reliably
- Build model serving layer supporting multiple model types and frameworks, with versioning, canary deployment, and model monitoring for production safety
- Establish model governance workflows including approval gates, audit logging, and compliance checkpoints ensuring all platform-deployed models meet enterprise risk standards
- Create and maintain a developer portal with self-serve onboarding, interactive documentation, sandbox environments, and support pathways
- 10+ years progressive experience in software engineering, platform architecture, or enterprise technology leadership, with at least 4 years in senior capacity
- Demonstrated experience designing and operating high-availability, enterprise-grade platforms with microservices architecture and production-scale reliability
- Deep technical fluency in modern AI/ML infrastructure including model serving, MLOps, containerization, and cloud-native deployment patterns
- Hands-on experience building developer platforms, internal tooling, or API ecosystems with multi-language SDK support and strong developer experience orientation
- Strong command of authentication, authorization, and API security standards (OAuth 2.0, API gateway patterns, zero-trust principles)
- Experience operating in financial services or similarly regulated enterprise environment with compliance, audit, and risk governance requirements
- Familiarity with low-code/no-code platform design and UX challenges of serving both technical and non-technical users
- Exposure to event streaming technologies (Kafka, Kinesis), data drift detection, and real-time model observability tooling
- Experience with multi-region cloud architecture, platform SRE practices, and operational disciplines for enterprise-grade availability
- Familiarity with LLM deployment patterns, vector databases, and infrastructure for generative AI applications at scale
- 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