- Location
- CAN, Ontario, Toronto, 250 Bloor Street East, Canada · Boston, Massachusetts · Montreal, Quebec
- Type
- Full-time
- Department
- Engineering
- Experience
- 10+ years
- Education
- Bachelor
- Closing date
- Today
- Source
- Workday
Description
The AI Solutions Engineer works alongside GWAM business teams to find where AI and agentic tooling can remove effort, shorten cycle time or improve quality in an existing business process — and then engineers, ships and measures that solution end to end. The role is deliberately a consumer and integrator of AI capability: value is created by applying and managing tooling and capabilities to real business workflows quickly and safely.
Position Responsibilities:
Partner with business and technology stakeholders to identify, qualify and prioritise processes where AI tooling produces a measurable business outcome — and to rule out those where it does not.
Translate a business problem into a working AI-enabled solution design, spanning the workflow, the data it touches, the tooling applied and the human checkpoints retained.
Build and integrate solutions using commercial and platform AI tooling — LLM APIs, agent frameworks, orchestration and prompt engineering — against existing systems of record.
Deploy solutions to production using containerised delivery practices, meeting enterprise security, privacy and control standards for a regulated financial services environment.
Instrument every solution for business outcome measurement, and iterate based on what the measurement shows rather than on assumed benefit.
Apply and uphold responsible-AI guardrails — human oversight, auditability, data handling and model-risk requirements — in partnership with risk and compliance functions.
Document and hand solutions to run-state ownership, and feed reusable patterns back to the platform and architecture teams.
Coach business and technology colleagues on the practical application of AI tooling, raising the enablement capability of the wider team.
Required Qualifications:
10+ years of experience, including three years applying AI or LLM tooling in a production setting
Bachelor's degree in Computer Science, Computer Engineering, Computational Science or equivalent.
Experience in financial services, wealth or asset management (preferred)
When you join our team:
We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].
Referenced Salary Location
Toronto, OntarioWorking Arrangement
Salary range is expected to be between
$113,260.00 CAD - $210,340.00 CADEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact [email protected] for more information about U.S.-specific paid time off provisions.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
