AI Product Engineer – IT Operations at Manulife
Toronto, ON M4W 1E5, Canada -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

75880.0

Posted On

23 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Javascript, Computer Science, Microsoft Sql Server, Microsoft Azure, Code, It Service Management, Design, Platforms, Mechanisms, Software Development, Database, Data Science, Front End Development, Sql, Python

Industry

Information Technology/IT

Description

Join our Global Technology Services Management team!
We are looking for a passionate and innovative AI Product Engineer to join our IT Operations team. This role focuses on the development and enhancement of in-house AI products and solutions that support IT Service Management (ITSM) capabilities, including Incident, Problem, and Change management.
The ideal candidate will bring hands-on experience with AI frameworks, agentic architectures, and full-stack development. You will work in a fast-paced, agile environment where experimentation, iteration, and continuous learning are encouraged. Your work will directly impact operational efficiency, reduce manual workloads, and improve service reliability across the enterprise.

REQUIRED QUALIFICATIONS:

Entrepreneurial approach with a willingness to experiment and iterate.
Strong problem-solving skills and ability to work independently or in a team.
Excellent communication and collaboration skills.
Passionate and curious about the latest developments in AI.
Continuous learning and staying at the forefront of industry developments.
Adaptability to changing priorities and fast-paced environments.

PREFERRED QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field and/or equivalent experience.
  • 1–3 years+ of experience in software development, with proven contributions to AI-powered tools or platforms.
  • Proficiency in Python, with experience using frameworks such as LangChain, OpenAI SDKs, and FastAPI.
  • Familiarity with SQL, particularly Microsoft SQL Server.
  • Experience with JavaScript and React for front-end development.
  • Exposure to cloud platforms (especially Microsoft Azure) and containerization tools (e.g., Docker).
  • Experience with infrastructure-as-code tools like Terraform is a plus.
  • Experience working with Enterprise Data Lake technologies, Big Data platforms, or Data Warehouses.
  • Familiarity with RESTful APIs and data integration techniques.
  • Experience working in Agile/Scrum environments with rapid release cycles.
  • Familiarity with ITIL framework and ServiceNow IT Service Management is preferred.
  • Understanding of CI/CD methods, DevSecOps, caching mechanisms, and database design.
Responsibilities
  • Design, develop, test, deliver, and maintain AI-powered business applications across the full-stack using modern frameworks and cloud-native technologies.
  • Build and expose APIs using FastAPI to support chatbot interactions and backend services.
  • Develop and maintain front-end interfaces using JavaScript (React).
  • Integrate AI functionality with ServiceNow ITSM data (incident, problem, change, CMDB).
  • Collaborate with data engineering teams to access and interpret data from the Enterprise Data Lake (EDL).
  • Implement agentic workflows (e.g., autonomous agents that resolve incidents based on real-time data).
  • Use Terraform for infrastructure-as-code and environment provisioning.
  • Participate in agile development sprints focused on rapid prototyping and daily releases.
  • Apply Git for version control, collaboration, and codebase management.
  • Apply well-adapted coding practices, including semantic versioning, design patterns, and automation.
  • Conduct a wide range of tests and analysis to ensure software applications meet or exceed standards and end-user requirements.
  • Perform investigative spikes to mitigate technical uncertainty and risk.
  • Fix errors, resolve bugs, and improve overall software efficiency.
  • Maintain AI solutions in accordance with ethical AI standards, encompassing equity, openness, and data protection.
  • Complete required documentation (e.g., deployment, maintenance, support, business needs).
  • Perform peer reviews of code to support continuous learning and improvement.
  • Participate in conceptualization and brainstorming sessions to devise creative and innovative digital solutions.
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