Senior AI Engineer, Global Customer AI Solutions
Senior AI Engineer, Global Customer AI Solutions
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Job Description
We are looking for an innovative and experienced Senior AI Engineer to join our Global Customer AI Solutions team. Reporting to the Senior Director you will play a critical role in designing developing and deploying AI solutions that propel innovation and optimize our global operations. You will collaborate with cross-functional teams to build robust scalable AI systems ensuring successful integration and delivery across multiple business segments.
Position Responsibilities:
- AI Solution Implementation: Leverage and integrate advanced AI models such as large language models (LLMs) to solve complex business problems and enhance operational efficiency.
- Seamless Integration: Partner with data scientists engineers and business stakeholders to gather requirements and integrate AI solutions smoothly with existing systems.
- Technical Mentorship: Lead and mentor junior engineers fostering a culture of innovation and collaboration within the team.
- Scalable Infrastructure: Develop and maintain scalable AI platforms and infrastructure to facilitate the deployment and management of AI models in production.
- Data Pipeline Management: Work with data engineers to establish high-quality data pipelines that ensure efficient data processing for AI applications.
- Model Optimization: Regularly assess and enhance AI models and systems for optimal performance accuracy and reliability.
- Responsible AI Practices: Advocate for and apply responsible AI practices and rigorous testing methodologies.
- Continuous Innovation: Keep up with the latest AI technologies and research incorporating new methodologies to enhance our solutions.
- Efficient Human Feedback Loops: Implement efficient human feedback loops to refine and improve AI actioning solutions.
Required Qualifications:
- Professional Experience: At least 5 years of experience in AI engineering with a proven track record of successfully building and deploying AI solutions.
- Technical Proficiency: Expertise in AI frameworks and libraries such as LangChain LangGraph or OpenAI SDK and programming languages like Python Java or R.
- Educational Background: Bachelors degree in computer science Engineering or a related field; equivalent technical experience is also considered.
Preferred Qualifications:
- Prompt Engineering: Strong skills in prompt engineering and indexing/retrieval techniques.
- Distributed Systems: Experience with distributed computing frameworks and cloud platforms like AWS Azure or Google Cloud.
- Machine Learning Expertise: Strong knowledge of machine learning algorithms and experience in applying pre-built models.
- Data Engineering Skills: Solid understanding of data engineering principles including data pipelines and ETL processes.
- Problem-Solving Ability: Exceptional problem-solving skills with the capacity to tackle complex technical challenges.
- Effective Communication: Excellent communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
When you join our team:
- Well empower you to learn and grow the career you want.
- Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team well support you in shaping the future you want to see.
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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 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 OntarioWorking Arrangement
Salary range is expected to be between
$94220.00 CAD - $174980.00 CADIf 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.
Required Experience:
Exec
Employment Type
Full-Time
