We are seeking a dedicated Generative AI Engineer to develop innovative Generative AI solutions in collaboration with our data science and IT teams. Your primary responsibility will be to build Data pipelines (ETL) and Generative AI solutions with robust architecture, effective MLOps/LLMOps processes, and comprehensive controls. Additionally, we are looking for someone with extensive experience in full stack Azure development to ensure seamless integration and deployment of AI solutions.

Position Responsibilities:

• Build Solutions: Build ETL data pipelines to ingest, curate and index the data required for AI use cases. Collaborate with Data Scientists to develop and implement generative AI solutions that solve complex business problems and deliver significant business value.
• Multi-functional Collaboration: Work closely with architects to build a high-performance environment where data scientists and engineers can develop and deploy GenAI solutions efficiently.
• Solution Design: Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables, and timelines.
• Stay Updated: Keep abreast of the latest advancements in AI technologies and methodologies, evaluating their potential applications to improve our AI engineering processes.
• Adopt ML Ops Practices: Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.
• Foster Innovation: Cultivate a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.

Required Qualifications:

• GenAI/ML Solution Pods : Experience with leading GenAI/ML Solution Pods for production-ready AI applications.
• Educational Background : Graduate degree in Computer Science, Engineering, or a related field.

Preferred Qualifications:

• Release Management : Experience with scaled-up release management for AI applications.
• Microservice Architecture : Experience in building microservice-based architecture for GenAI solutions.
• Data Processing : Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.
• Azure Expertise : Expert knowledge in full stack Azure development, including experience with Azure cloud platforms in the context of GenAI solution development and deployment, and familiarity with common tools in data science.
• Generative AI Knowledge : Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.
• Communication and Leadership : Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.
• Motivation and Results-Driven : Highly motivated and results-driven, comfortable in handling changes, and delivering results in complex situations.

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 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 recruitment@manulife.com .

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 recruitment@manulife.com 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 recruitment@manulife.com for more information about U.S.-specific paid time off provisions.