Hybrid AI Engineer

Posted 10 hours ago

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About the role

  • AI Engineer responsible for designing, developing, and deploying AI solutions for Manulife. Collaborating with stakeholders to deliver intelligent, scalable applications and ensure responsible AI practices.

Responsibilities

  • Helps translate business and functional requirements into documented technical specifications or user stories.
  • Collaborate with business stakeholders to identify automation opportunities and translate them into AI-driven solutions.
  • Designs, develops, tests, delivers, maintains, and improves AI-driven applications as a member of a team, working across full-stack through the entire software development lifecycle.
  • Design and build intuitive user interfaces, robust APIs, and scalable server-side logic.
  • Apply disciplined coding practices to enable agility and delivery of high-quality code.
  • Implement design patterns, automation tools, and semantic versioning where and when available.
  • Perform technical 'spikes' to explore and mitigate risks associated with AI technologies.
  • Troubleshoot and optimize AI models and algorithms for performance and accuracy.
  • Document deployment guides, maintenance plans, support materials, and business reports.
  • Deliver high-quality, scalable AI solutions integrated with API and enterprise platforms (e.g SharePoint, M365, Azure, ServiceNow, Salesforce, WD, etc).
  • Ensure responsible AI practices, including transparency, fairness, and compliance.
  • Monitor and maintain deployed agents, ensuring performance, reliability, and scalability.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3+ years of experience in software development or automation, with at least 1 year in AI or low-code platforms.
  • Hands-on experience with Microsoft Power Platform, Copilot, designing technical requirements, and documenting data flows for low-code or API-based integrations.
  • Familiarity with agentic AI concepts, including autonomous agents, memory, and goal-driven behavior.
  • Familiarity with Azure AI services, Power BI, and Dataverse is a plus.
  • Ability to break down complex problems and design scalable, ethical AI solutions.
  • Ability to communicate technical concepts clearly and collaborate across teams.
  • Adaptability to evolving technologies and ethical AI design principles.

Benefits

  • flexible environment where well-being and inclusion are more than just words

Job title

AI Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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