RAVL helps technologists accelerate their careers. At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Our purpose is to build a team that puts real, sustainable business outcomes at the core of everything we do. We're here to leave our clients better than we found them—and to create a place where our people are proud to Build. Better.
About The Role We're looking for a Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations.
This is a platform engineering role first, with an AI specialization. You'll build and operate the shared infrastructure, services, and runtime capabilities that allow engineering teams to securely deploy, govern, observe, and scale AI-powered applications in highly regulated financial services environments.
Rather than building individual business applications or developer tooling, you'll focus on the production AI platform itself—creating reusable services, operational excellence, and platform capabilities that other engineering teams depend on every day. As a Senior or Principal engineer, you'll influence platform architecture, establish engineering standards, and help shape RAVL's AI platform strategy.
What does success look like in this role? Design, build, and operate reusable cloud platform capabilities using Infrastructure as Code, CI/CD, containers, Kubernetes, identity services, and cloud networking
Develop shared AI platform services including model gateways, API gateways, inference routing, vector and retrieval services, evaluation pipelines, and policy enforcement capabilities
Build highly reliable platform services with clear Service Level Objectives (SLOs),



observability, tracing, monitoring, automated recovery, and operational excellence
Design secure platform foundations that incorporate identity, secrets management, network security, data boundaries, auditability, governance, and controlled access to AI models and enterprise tools
Treat the platform as a product by creating reusable APIs, templates, documentation, paved roads, and self-service capabilities that accelerate adoption across engineering teams
Optimize platform performance, scalability, and cost through intelligent routing, caching, quotas, lifecycle management, versioning, and cloud resource optimization
Establish operational standards for AI platform reliability, incident response, capacity planning, and continuous improvement
Mentor engineers, lead architecture discussions, and contribute reusable capabilities that strengthen both client platforms and RAVL's AI engineering practice
Partner with engineering, infrastructure, security, architecture, and client stakeholders to deliver scalable AI platform capabilities aligned with enterprise governance requirements
Sounds great, but do my skills fit? We're looking for platform engineers with deep cloud infrastructure expertise and practical experience building up-to-date AI-enabled platforms.
Required Strong experience designing and operating cloud platforms using Infrastructure as Code, Kubernetes, containers,



and modern cloud-native architecture
Deep experience building CI/CD pipelines, cloud networking, identity and access management, observability platforms, and site reliability engineering practices
Experience designing highly available distributed systems with strong operational practices including SLOs, monitoring, tracing, incident response, and capacity planning
Working knowledge of large language models, AI inference, agent architectures, and how to expose AI capabilities safely as reusable platform services
Experience implementing secure data governance practices including privacy, lineage, lifecycle management, access controls, and scalable data processing
Strong understanding of enterprise security, governance, cloud operations, and cost optimization within regulated environments
Experience collaborating across engineering, platform, infrastructure, security, and architecture teams to deliver scalable shared services
For Senior and Principal candidates, demonstrated experience leading platform architecture, establishing engineering standards, mentoring engineers, and driving adoption of enterprise platform capabilities
Nice To Have Skills Experience with Azure AI Foundry, Azure Open AI, AWS Bedrock, Vertex AI, or other managed AI platforms
Experience with service mesh technologies, API management platforms, GPU infrastructure, model serving frameworks, or vector databases
Experience implementing policy-as-code, multi-tenant platform architectures, software supply chain security, or advanced Fin Ops practices
Experience operating enterprise Kubernetes platforms at scale
Cloud architecture, Kubernetes (CKA/CKAD), or related certifications
Experience working within banking, i

📌 Ai platform engineer (Toronto)
🏢 RAVL
📍 Toronto