Jobs / Manulife

Senior Cloud Architect – AI & Modernization

Manulife · Toronto, ON, Canada
Toronto, ON, Canada113,000-163,000 CAD/yearlyHybrid
Remuneration
113,000-163,000 CAD/yearly
Location
Toronto, ON, Canada
Visa sponsorship
Not specified

Job summary

Manulife is seeking a Senior Cloud Architect to lead the evolution of their application landscape toward cloud-native, AI-enabled platforms. This role involves modernizing complex application environments, designing scalable, resilient, and intelligent cloud solutions, and shaping architecture patterns.

Qualifications

  • Experience designing and modernizing applications in cloud environments (Azure preferred).
  • Strong understanding of cloud-native architecture, including containers, serverless, and event-driven systems.
  • Experience supporting application transformation beyond basic infrastructure migration.
  • Ability to work across application, platform, and data layers to solve complex architecture challenges.
  • Strong communication skills to influence technical and non-technical stakeholders.
  • Comfort working directly with engineering teams on system design and modernization initiatives.
  • Experience applying AI or automation to support system analysis, modernization, or architecture decisions.
  • Familiarity with microservices and distributed system design.
  • Exposure to tools such as Kubernetes, CI/CD pipelines, or infrastructure-as-code frameworks.
  • Experience working in large-scale or regulated environments.

Responsibilities

  • Define and evolve cloud-native architecture patterns for scalable, resilient, and AI-ready applications.
  • Partner with engineering teams to modernize applications from VM-based environments to PaaS, containerized, and serverless solutions.
  • Lead architecture reviews and guide teams in making practical, forward-looking design decisions.
  • Identify opportunities to simplify systems, reduce complexity, and improve delivery speed.
  • Develop and promote repeatable modernization approaches for consistent adoption.
  • Collaborate with data and platform teams to ensure architectures support high-quality, accessible data for AI use cases.
  • Explore and apply automation or AI tools to accelerate modernization, system analysis, and architecture decision-making.

Skills

AzureKubernetes

Industry

Financial services

Relocation

No