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 networkingDevelop shared AI platform services including model gateways, API gateways, inference routing, vector and retrieval services, evaluation pipelines, and policy enforcement capabilitiesBuild highly reliable platform services with clear Service Level Objectives (SLOs),



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



and modern cloud-native architectureDeep experience building CI/CD pipelines, cloud networking, identity and access management, observability platforms, and site reliability engineering practicesExperience designing highly available distributed systems with strong operational practices including SLOs, monitoring, tracing, incident response, and capacity planningWorking knowledge of large language models, AI inference, agent architectures, and how to expose AI capabilities safely as reusable platform servicesExperience implementing secure data governance practices including privacy, lineage, lifecycle management, access controls, and scalable data processingStrong understanding of enterprise security, governance, cloud operations, and cost optimization within regulated environmentsExperience collaborating across engineering, platform, infrastructure, security, and architecture teams to deliver scalable shared servicesFor Senior and Principal candidates, demonstrated experience leading platform architecture, establishing engineering standards, mentoring engineers, and driving adoption of enterprise platform capabilitiesNice To Have Skills
Experience with Azure AI Foundry, Azure OpenAI, AWS Bedrock, Vertex AI, or other managed AI platformsExperience with service mesh technologies, API management platforms, GPU infrastructure, model serving frameworks, or vector databasesExperience implementing policy-as-code, multi-tenant platform architectures, software supply chain security, or advanced FinOps practicesExperience operating enterprise Kubernetes platforms at scaleCloud architecture, Kubernetes (CKA/CKAD), or related certificationsExperience working within banking, insurance, wealth management, or other regulated industriesMind

📌 Ai Platform Engineer (Winnipeg)
🏢 RAVL
📍 Winnipeg