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.





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.

Core Competencies
Demonstrates expertise in building and operating secure, scalable AI platforms, with a robust 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 (Ontario)
🏢 Jobtailor
📍 Ontario