Senior Solution Architect
| Company | Manulife Financial |
|---|---|
| Location | Toronto, ON, Canada, Kitchener, ON, Canada |
| Salary | $94220 – $174980 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior, Expert or higher |
Requirements
- Strong background in Optical Character Recognition (OCR) technologies, including understanding various OCR techniques, tools, and frameworks.
- In-depth knowledge of Azure Vision AI services, including Computer Vision, OCR, and other related services within the Azure ecosystem.
- Proficiency in machine learning and deep learning concepts, especially as they relate to image processing and recognition tasks.
- Experience in designing and architecting AI solutions, understanding system scalability, reliability, and performance considerations.
- Be data driven in both decision making and in governance practices.
Responsibilities
- Partner with dedicated IT professionals to craft and implement cross-platform solutions to support our customers as they engage with the business processes.
- Develop useful architecture models that can be used by both system architects and engineers, and demoing these models.
- Partner with product collaborators by influencing priorities while being responsible for the technical solutions.
- Be proactive, working with collaborators to create architecture concepts prior to initiating an effort, demoing changes to these concepts.
- Keep models updated frequently and available for others to access.
Preferred Qualifications
- 7+ years proven experience as a Solution Architect
- Demonstrated ability engineering large scale and sophisticated systems from design to production which involve AI.
- You obsess about customers, listen, engage and act for their benefit.
- Ability to translate sophisticated business problems and important metrics into a solution architecture which can be demoed and implemented by multiple agile teams.
- Have an eye for the future – we need leaders with vision who flourish with learning about what’s on the horizon and seeing how it can be applied to the customer challenges we need to address.