Associate AI Engineer
@ Manulife

Toronto, ON
CA$85,000
On Site
Full Time
Posted 4 days ago

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Job Details

Job Overview

The Associate AI Engineer at Manulife will design, develop, and deploy AI solutions to support global operations. Reporting to the Senior Director, you will work on integrating advanced AI models including LLMs and Agentic AI, collaborating with cross-functional teams to ensure robust, scalable solutions.

Position Responsibilities

Key duties include:

  • Implement AI solutions using advanced models.
  • Collaborate with stakeholders and engineering teams.
  • Design complex document indexing and vector store integrations.
  • Manage data pipelines and support model optimization.
  • Advocate for responsible AI practices and continuous innovation.

Required & Preferred Qualifications

The ideal candidate will have at least 2 years of AI engineering experience, strong Python skills and familiarity with AI frameworks like LangChain, LangGraph, or OpenAI SDK. A Bachelor’s degree in computer science or a related field is required. Additional skills in prompt engineering, production AI code development, distributed systems, and data engineering are highly valued.

Benefits & Work Environment

Manulife offers a hybrid work arrangement from Toronto, Ontario with customizable benefits including health, dental, vision and retirement plans. Employees enjoy a flexible work culture that emphasizes inclusion and personal well-being.

Key skills/competency

  • AI
  • Python
  • LLM
  • Agentic AI
  • Data Pipelines
  • Prompt Engineering
  • API Development
  • Distributed Systems
  • Machine Learning
  • Responsible AI

How to Get Hired at Manulife

🎯 Tips for Getting Hired

  • Research Manulife's culture: Understand mission, values and recent news.
  • Customize your resume: Highlight AI engineering achievements.
  • Showcase technical skills: Emphasize Python and AI frameworks.
  • Prepare for interviews: Practice AI concepts and problem solving.

📝 Interview Preparation Advice

Technical Preparation

Review AI frameworks and library docs.
Practice Python coding challenges.
Study large language models applications.
Refresh data pipeline and ETL concepts.

Behavioral Questions

Describe a challenging project and resolution.
Explain team collaboration in past roles.
Discuss handling tight deadlines effectively.
Share a time you adapted to change.

Frequently Asked Questions