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Manulife

Artificial Intelligence Solutions Engineer

Manulife
Posted a day ago
Toronto, Ontario, CA (Hybrid)

Key Details

Top Skills Required

Financial ServicesPrivacy ComplianceLLM APIs +18 more

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,shipsand 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 toreal business workflows quickly and safely.
 

Position Responsibilities:

  • Partner with business and technology stakeholders toidentify, qualify andprioritiseprocesses 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 toolingappliedand the human checkpointsretained.

  • Build and integrate solutions using commercial and platform AI tooling — LLM APIs, agent frameworks,orchestrationand prompt engineering — against existing systems of record.

  • Deploy solutions to production usingcontaineriseddelivery practices, meeting enterprise security,privacyand control standards for a regulated financial services environment.

  • Instrument every solution for business outcomemeasurement, anditerate based on what the measurement shows rather than on assumed benefit.

  • Apply and upholdresponsible-AIguardrails — human oversight, auditability, datahandlingand 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, ComputationalScienceor equivalent.

  • Experience in financial services,wealthor 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, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$113,260.00 CAD - $210,340.00 CAD

Employees 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 ourpersonal information collection statement.

Job Details

Job Type
full time
Salary Range
$113,260 - $210,340
Experience
10+ years

Required Skills

Financial ServicesPrivacy ComplianceLLM APIsEnterprise SecurityAsset ManagementArtificial IntelligenceTeamworkMachine LearningProblem-solvingPrompt EngineeringAgent FrameworksAdaptabilityResponsible AISolution DesignCommunicationOrchestrationWealth ManagementModel Risk ManagementContainerized DeliveryCollaborationAI Integration