Lead AI Solution Engineer
@ Manulife

Toronto, ON
CA$150,000
On Site
Full Time
Posted 23 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXXXX XXXXXX******* @manulife.com
Recommended after applying

Job Details

Overview

This Lead AI Solution Engineer role at Manulife offers an exciting opportunity to work with cutting-edge technologies and cloud-native environments. You will leverage Azure AI Services, Azure PaaS, FastAPI, ReactJS, and Cosmos DB to build scalable, secure, and intelligent applications.

Position Responsibilities

  • Translate business requirements into technical specifications and user stories.
  • Design, develop, test, deploy, and document back-end functionalities.
  • Develop and maintain RESTful APIs and microservices integrated with Azure services.
  • Implement CI/CD pipelines and ensure performance, security, and efficiency.
  • Collaborate with front-end developers and participate in code reviews and architecture discussions.

Required & Preferred Qualifications

Strong experience with Azure PaaS services, Python (FastAPI), REST API design, and Azure AD integration is mandatory. Familiarity with CI/CD tools like Jenkins and Git, as well as modern front-end practices with ReactJS, is required. Preferred skills include exposure to Azure OpenAI, containerization (Docker, Kubernetes), and monitoring tools.

When You Join Our Team

You will be part of a global team in a flexible, hybrid environment located in Toronto. Manulife values diversity, inclusion, and continuous learning, empowering you to shape your future and grow your career.

Key skills/competency

  • Azure AI Services
  • Azure PaaS
  • FastAPI
  • ReactJS
  • Cosmos DB
  • REST API
  • CI/CD
  • Python
  • Azure AD
  • Cloud-native
Apply without a personalized resume

How to Get Hired at Manulife

🎯 Tips for Getting Hired

  • Research Manulife's culture: Study mission, values, and employee reviews.
  • Tailor your resume: Highlight Azure, Python, and AI skills.
  • Prepare for technical interviews: Practice FastAPI, REST API, and cloud scenarios.
  • Showcase project leadership: Emphasize past independent project execution.

📝 Interview Preparation Advice

Technical Preparation

Review Azure service documentation.
Practice Python and FastAPI coding.
Set up a basic CI/CD pipeline.
Build REST APIs in a sandbox environment.

Behavioral Questions

Describe a challenging project and resolution.
Explain teamwork in your last role.
Discuss handling tight deadlines under pressure.
Share an example of continuous learning.

Frequently Asked Questions