Senior Cloud & AI Platform Engineer - Hybrid

Sun Life Financial; Toronto; Hybrid; CAD 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Best Workplace award recognition

Job summary

Sun Life Financial in Toronto is seeking an experienced cloud and analytics professional to scale enterprise AI and analytics platforms; you will help ensure reliability, security, and speed across teams while embracing the company’s value of caring and impact.

You’ll collaborate with Cloud, Security, Data Science and Analytics teams, lead PoCs, and drive DevOps improvements to enable AI powered outcomes. A hybrid work model and a strong focus on continuous learning support career growth.

Qualifications

• Experience enabling enterprise AI and analytics platforms.
• Ability to translate complex concepts for diverse audiences.
• Experience with cloud services and DevOps practices.

Responsibilities

• Act as SME for enterprise AI services and solutions.
• Integrate AI solutions across the enterprise using cloud services.
• Enable and maintain Amazon Bedrock capabilities.
• Develop and support Amazon Bedrock Agent core for use cases.
• Enable and support Amazon Q Business solutions for AI use cases.
• Develop and support Amazon Quick Suite for agentic workflows.
• Productionize services and implement reusable cloud patterns.
• Apply DevOps practices to improve reliability.
• Lead PoCs, KTLO, and CI/CD improvements with training.
• Provide ongoing support for platform AI solutions.

Skills

Communication

Analytical thinking

Problem solving

Independent contributor

Team collaboration

Enterprise mindset

Driving outcomes

Tools

AWS

CloudFormation

Terraform

CI/CD (Jenkins)

Git workflows

PowerShell

Python

Job description

Sun Life Financial in Toronto is seeking an experienced cloud and analytics professional to scale enterprise AI and analytics platforms; you will help ensure reliability, security, and speed across teams while embracing the company’s value of caring and impact.

You’ll collaborate with Cloud, Security, Data Science and Analytics teams, lead PoCs, and drive DevOps improvements to enable AI powered outcomes. A hybrid work model and a strong focus on continuous learning support career growth.