Job Description

Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutions. Apply now to compete at the forefront of generative AI and financial technology!
At Manulife, we offer a collaborative environment where you will craft, develop, and deploy AI-powered applications to support internal teams and client-facing platforms.
Position Responsibilities:

• Design, build, and deploy production AI applications end to end, focusing on LLM-powered services for chat, Q&A, summarization, extraction, and content generation.
• Build and maintain secure, scalable APIs, model serving layers, and containerized inference services with observability and monitoring.
• Create robust data ingestion pipelines: chunking, metadata, embedding generation, indexing, and freshness strategies.
• Ensure data privacy, PII protection, content filtering, policy enforcement, and auditability to meet compliance requirements (e.g., FINRA, SEC).
• Optimize performance and cost through batching, caching, autoscaling, and efficient token usage.
• Collaborate with domain and product teams to transform use cases into measurable, production-ready AI features; communicate progress, trade-offs, and results to collaborators.
• Translate ambiguous problems into defined AI solutions with clear SLAs, SLOs, and success metrics.
• Implement safety guardrails: filters, prompt policies, tool/function constraints, and incident logging.
• Provide reusable components, SDKs, and reference architectures to accelerate adoption across teams.
• Document data lineage, retention, and security controls; participate in compliance reviews and audits.
• Collaborate with financial domain experts to understand complex use cases in wealth management, retirement planning, and client servicing.
• Work closely with data scientists, product managers, and engineering teams to translate the latest advancements in generative AI into practical, production-ready applications.
• Regularly involve collaborators: collect needs, explain technical choices, and convert outcomes into business value.

Required Qualifications:

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 3+ years building production ML/AI systems with deployed services.
• Strong Python skills and experience with LLM frameworks.
• Hands-on with cloud platforms, Docker/Kubernetes, and CI/CD.
• Practical experience with embeddings, vector stores, and retrieval design.
• Experience building secure APIs and inference services with monitoring and observability.
• Strong SQL skills for analysis, data validation, and extraction from enterprise stores.
• Understanding of latency/cost trade-offs and optimization techniques.
• Strong communication abilities and background in partnering with non-technical customers.

Preferred Qualifications:

• PhD in Computer Science, Engineering, or related field.
• Familiarity with enterprise architecture, APIs, and secure software design in regulated environments.
• Strong data engineering skills for ETL/ELT, schema design, and metadata management.
• Exposure to multimodal pipelines.

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.

#LI-Hybrid
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 .
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 .
Referenced Salary Location Toronto, Ontario
Working Arrangement Hybrid
Salary range is expected to be between $75,880.00 CAD - $140,920.00 CAD
If you are applying for this role outside of the primary location, please contact for the salary range for your location. 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. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
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 for more information about U.S.-specific paid time off provisions.

Skills Required