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. Requirements 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. Robust 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. Core Competencies Demonstrates expertise in building and operating secure, scalable AI platforms, with a strong focus on cloud-native architecture, Infrastructure as Code, and enterprise security practices. Proven ability to lead platform architecture, establish engineering standards, and mentor engineering teams in regulated financial services environments. Highest-signal resume keywords Cloud Platform Design Infrastructure as Code Kubernetes CI/CD Pipeline Development Data Governance Implementation ATS Optimization Keywords Hard Skills Cloud-Native Architecture Site Reliability Engineering Distributed Systems Design AI Inference Operational Excellence Monitoring and Tracing Incident Response Capacity Planning Identity and Access Management Scalable Data Processing Soft Skills Collaboration Mentoring Influencing Leadership Industry Keywords Financial Services Enterprise Security Governance Regulated Environments Privacy Data Lineage Lifecycle Management Tools & Technologies Kubernetes CI/CD Tools Observability Platforms Cloud Networking Containers #J-18808-Ljbffr

📌 Ai Platform Engineer – Senior/Principal (Toronto)
🏢 Luxoft
📍 Toronto