GEN AI Engineer

As a GenAI Engineer at Manulife, you will design, build, and maintain advanced data and AI solutions that power our next generation of intelligent applications. You will develop scalable data infrastructure, pipelines, and models that support Generative AI use cases across the organization. This role blends modern data engineering, GenAI innovation, machine learning deployment, and solution design—driving meaningful business outcomes and helping shape the future of AI at Manulife.

Position Responsibilities:

• Design, build, and maintain data pipelines to ingest, curate, and index data for AI and Generative AI applications.

• Collaborate with Data Scientists to develop GenAI solutions that solve complex business problems and drive measurable value.

• Build scripts, automation, and analytical tools that accelerate data engineering and model deployment activities.

• Partner with architects and technical leaders to design high-performing GenAI applications aligned with business objectives.

• Deploy machine learning and GenAI models into production environments, ensuring interoperability with systems, APIs, and data sources.

• Participate in solution design sessions, defining technical requirements, deliverables, and timelines.

• Stay current on emerging AI technologies and evaluate their application to improve engineering processes.

• Adopt and promote ML Ops best practices for efficient, reliable model deployment and lifecycle management.

• Contribute to a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.

Required Qualifications:

• Strong understanding of Generative AI concepts, including model architectures, algorithms, and business applications.

• Experience with data indexing, chunking, and optimizing RAG (Retrieval-Augmented Generation) patterns.

• Expertise with CI/CD pipelines and release management for AI or GenAI applications.

• Hands-on experience working in Azure environments, including Databricks, Data Factory, Storage Accounts, and related services.

• Strong proficiency in Python, PySpark, and SQL.

• Experience using Git for version control and codebase management.

• Knowledge of microservice-based architectures for GenAI solutions.

• Understanding of database systems, data lakes, NoSQL databases, and large-scale distributed data solutions.

• Demonstrated experience deploying and supporting large-scale ML or GenAI models in production.

• Excellent communication skills and the ability to collaborate effectively across cross-functional teams.

• Highly motivated, adaptable, and results-oriented, with the ability to thrive in complex, evolving environments.

Preferred Qualifications:

• Experience optimizing model performance and ensuring scalability to meet enterprise workloads.

• Familiarity with deploying LLMs in cloud environments and setting up monitoring (accuracy, latency, throughput).

• Terraform or Infrastructure‑as‑Code experience for provisioning cloud resources.

• Background in ML Ops, data orchestration, or cloud-native AI infrastructure.

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.

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

Working Arrangement

Salary range is expected to be between

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.