AI Platform Engineer – Senior/Principal

Jobtailor; Toronto; On-site; CAD 150,000 - 230,000; Full time

Job summary

RAVL is seeking a Senior/Principal AI Platform Engineer to design and operate a secure, scalable AI platform for enterprise delivery. You will shape architecture, standards, and governance across regulated financial services clients, ensuring reusable platform services and steadfast site reliability.

In this role, you will lead platform initiatives, mentor engineers, and partner with security and architecture teams to drive adoption of enterprise capabilities in a cloud-native environment.

Qualifications

• 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, IAM, observability platforms, and SRE practices.
• Experience designing highly available distributed systems with SLOs, monitoring, tracing, incident response, and capacity planning.
• Working knowledge of large language models, AI inference, agent architectures, and exposing AI capabilities as reusable platform services.
• Experience implementing secure data governance, privacy, lineage, lifecycle management, access controls, and scalable data processing.

Responsibilities

• Build and operate shared infrastructure, services, and runtime capabilities enabling secure deployment and governance of AI-powered apps.
• Establish engineering standards and mentor engineers across teams to drive adoption of enterprise platform capabilities.
• Collaborate with security, architecture, and platform teams to deliver scalable, compliant, reusable services for regulated environments.

Skills

Cloud Platform Design

Leadership

Mentoring

Collaboration

SLOs and Capacity Planning

Tools

Kubernetes

CI/CD Tools

Observability Platforms

Cloud Networking

Containers

Job description

• 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 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