AI Product Analyst – Global Technology Operations

ManulifeToronto, ON
CA$69,525 - CA$115,875Hybrid

About The Position

We’re looking for an early-career AI Product Analyst to join our Global Technology Operations team and help build next-generation GenAI solutions that power IT operations at scale. In this role, you’ll work alongside experienced engineers and product teams to design, build, and deploy AI-driven applications that improve system reliability, reduce manual effort, and enhance the user experience across global platforms. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about AI and want to apply their skills in a real-world enterprise environment—while continuing to learn, grow, and develop new capabilities. We offer a collaborative and supportive team environment that values curiosity, experimentation, and continuous learning.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Hands-on experience (internship, co-op, or project-based) in software development
  • Proficiency in Python and experience building APIs or backend services
  • Working knowledge of JavaScript (e.g., React) or willingness to learn
  • Basic understanding of REST APIs and system integration concepts
  • Interest in AI/ML and emerging technologies

Nice To Haves

  • Experience with cloud platforms (e.g., Microsoft Azure)
  • Exposure to LLMs, prompt engineering, or retrieval-based AI concepts (RAG)
  • Familiarity with Docker, CI/CD pipelines, or infrastructure-as-code tools (e.g., Terraform)
  • Knowledge of enterprise tools such as ServiceNow or observability platforms

Responsibilities

  • Design, build, test, and deploy AI-powered applications across backend and frontend systems
  • Develop backend services and APIs using Python (e.g., FastAPI)
  • Build intuitive user interfaces using modern JavaScript frameworks (e.g., React)
  • Integrate applications with enterprise platforms such as ServiceNow and observability tools
  • Build AI-driven solutions using LLM APIs (e.g., OpenAI, Azure OpenAI)
  • Support the development of AI workflows that help automate operational processes
  • Work with data teams to access and use enterprise data effectively
  • Participate in agile development, including sprint planning and iterative delivery
  • Write clean, maintainable, and well-documented code
  • Contribute to testing, debugging, and performance improvement
  • Collaborate with cross-functional teams across regions and time zones
  • Support application releases and ongoing system performance
  • Participate in a structured on-call rotation with team support

Benefits

  • health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
  • adoption/surrogacy and wellness benefits
  • employee/family assistance plans
  • various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
  • financial education and counseling resources
  • generous paid time off program in Canada includes holidays, vacation, personal, and sick days
  • full range of statutory leaves of absence
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