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
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