Large

Manulife is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, we operate as Manulife across our offices in Canada, Asia, and Europe, and primarily as John Hancock in the United States. We have more than 40,000 employees, over 116,000 agents serving ~34 million customers worldwide, and over $1.3 trillion in assets under management and administration.


Finance

Manulife

You need a grad degree in a relevant field, ML project experience, cloud expertise (Azure), knowledge of GenAI models, strong leadership skills, and a customer-focused mindset.

You will collaborate with teams to develop generative AI solutions, define project requirements, mentor staff, drive ML Ops adoption, and stay updated on AI advancements to foster innovation.

Bachelors

Software Engineering

Toronto

<p><strong>The Opportunity: </strong></p><ul><li>The Senior GenAI Engineer is responsible for ML Engineering work in developing innovative Generative AI solutions in collaboration with data science and IT teams. The role’s primary responsibility is to build Generative AI solutions with sound architecture, effective MLOps/LLMOps processes and comprehensive controls. The successful candidate works closely with and receives support from data scientists, data engineers, data architects, platform engineers and business leaders.</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Work in collaboration with Data Scientists, to develop and implement generative AI solutions to solve complex business problems and deliver business value.</li><li>Collaborate with architects and platform engineers in building a high-performance environment where data scientists and engineers develop GenAI solutions in a timely manner and deploy them efficiently.</li><li>Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables and project timelines.</li><li>Provide technical guidance, mentorship, and problem-solving support to project teams to ensure successful execution of projects.</li><li>Stay up-to-date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.</li><li>Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.</li><li>Foster a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.</li></ul><p><strong>What motivates you? </strong></p><ul><li>You obsess about customers, listen, engage and act for their benefit.</li><li>You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.</li><li>You thrive in teams and enjoy getting things done together.</li><li>You take ownership and build solutions, focusing on what matters.</li><li>You do what is right, work with integrity and speak up.</li><li>You share your humanity, helping us build a diverse and inclusive work environment for everyone.</li></ul><p><strong>What we are looking for: </strong></p><ul><li>Graduate degree in Computer Science, Engineering, or a related field.</li><li>Experience in implementing and productionizing ML projects end-to-end including MLOps and Model Marketplaces.</li><li>Experience with leading GenAI/ ML Solution Pods for production ready AI applications.</li><li>Experience with scaled up release management for AI applications.</li><li>Experience with building microservice based architecture for GenAI solutions.</li><li>Experience in working with large-scale data sources in complex environments, and implementing scalable and efficient data processing pipelines.</li><li>Expert knowledge in cloud platforms, especially Azure, in the context of GenAI solution development and deployment, and common tools in data science.</li><li>Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.</li><li>Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.</li><li>Highly motivated and result driven.</li><li>Comfortable in handling changes and delivering results in complex situations.</li></ul><p><strong>What can we offer you? </strong></p><ul><li>A competitive salary and benefits packages.</li><li>A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.</li><li>A focus on growing your career path with us.</li><li>Flexible work policies and strong work-life balance.</li><li>Professional development and leadership opportunities.</li></ul><p><strong>Our commitment to you </strong></p><ul><li><strong>Values-first culture: </strong>We lead with our Values every day and bring them to life together.</li><li><strong>Boundless opportunity: </strong>We create opportunities to learn and grow at every stage of your career.</li><li><strong>Continuous innovation </strong>: We invite you to help redefine the future of financial services.</li><li><strong>Delivering the promise of Diversity, Equity and Inclusion: </strong>We foster an inclusive workplace where everyone thrives.</li><li><strong>Championing Corporate Citizenship: </strong>We build a business that benefits all partners and has a positive social and environmental impact.</li></ul>

The Opportunity: The Senior GenAI Engineer is responsible for ML Engineering work in developing innovative Generative AI solutions in collaboration with data science and IT teams. The role’s primary responsibility is to build Generative AI solutions with sound architecture, effective MLOps/LLMOps processes and comprehensive controls. The successful candidate works closely with and receives support from data scientists, data engineers, data architects, platform engineers and business leaders.Responsibilities:Work in collaboration with Data Scientists, to develop and implement generative AI solutions to solve complex business problems and deliver business value.Collaborate with architects and platform engineers in building a high-performance environment where data scientists and engineers develop GenAI solutions in a timely manner and deploy them efficiently.Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables and project timelines.Provide technical guidance, mentorship, and problem-solving support to project teams to ensure successful execution of projects.Stay up-to-date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.Foster a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.What motivates you? You obsess about customers, listen, engage and act for their benefit.You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.You thrive in teams and enjoy getting things done together.You take ownership and build solutions, focusing on what matters.You do what is right, work with integrity and speak up.You share your humanity, helping us build a diverse and inclusive work environment for everyone.What we are looking for: Graduate degree in Computer Science, Engineering, or a related field.Experience in implementing and productionizing ML projects end-to-end including MLOps and Model Marketplaces.Experience with leading GenAI/ ML Solution Pods for production ready AI applications.Experience with scaled up release management for AI applications.Experience with building microservice based architecture for GenAI solutions.Experience in working with large-scale data sources in complex environments, and implementing scalable and efficient data processing pipelines.Expert knowledge in cloud platforms, especially Azure, in the context of GenAI solution development and deployment, and common tools in data science.Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.Highly motivated and result driven.Comfortable in handling changes and delivering results in complex situations.What can we offer you? A competitive salary and benefits packages.A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.A focus on growing your career path with us.Flexible work policies and strong work-life balance.Professional development and leadership opportunities.Our commitment to you Values-first culture: We lead with our Values every day and bring them to life together.Boundless opportunity: We create opportunities to learn and grow at every stage of your career.Continuous innovation : We invite you to help redefine the future of financial services.Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

Senior GenAI Engineer - Manulife

<p></p>
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 <p>We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today. </p>
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 <p></p>Hybrid 
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 <p><b>Job Description </b></p>
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 <p><b>The Opportunity </b></p>
 <p>The Senior GenAI Engineer is responsible for ML Engineering work in developing innovative Generative AI solutions in collaboration with data science and IT teams. The role’s primary responsibility is to build Generative AI solutions with sound architecture, effective MLOps/LLMOps processes and comprehensive controls. The successful candidate works closely with and receives support from data scientists, data engineers, data architects, platform engineers and business leaders.<br> </p>
 <p><br> <b>Responsibilities </b></p>
 <ul>
  <li>Work in collaboration with Data Scientists, to develop and implement generative AI solutions to solve complex business problems and deliver business value. </li>
  <li>Collaborate with architects and platform engineers in building a high-performance environment where data scientists and engineers develop GenAI solutions in a timely manner and deploy them efficiently. </li>
  <li>Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables and project timelines. </li>
  <li>Provide technical guidance, mentorship, and problem-solving support to project teams to ensure successful execution of projects. </li>
  <li>Stay up-to-date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes. </li>
  <li>Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions. </li>Foster a culture of innovation, collaboration, and continuous learning within the GenAI engineering team. 
 </ul>
 <p><br> <b>What motivates you? </b></p>
 <ul>
  <li>You obsess about customers, listen, engage and act for their benefit. </li>
  <li>You think big, with curiosity to discover ways to use your agile approach and enable business outcomes. </li>
  <li>You thrive in teams and enjoy getting things done together. </li>
  <li>You take ownership and build solutions, focusing on what matters. </li>
  <li>You do what is right, work with integrity and speak up. </li>You share your humanity, helping us build a diverse and inclusive work environment for everyone. 
 </ul>
 <p><br> <b>What we are looking for </b></p>
 <ul>
  <li>Graduate degree in Computer Science, Engineering, or a related field. </li>
  <li>Experience in implementing and productionizing ML projects end-to-end including MLOps and Model Marketplaces. </li>
  <li>Experience with leading GenAI/ ML Solution Pods for production ready AI applications. </li>
  <li>Experience with scaled up release management for AI applications. </li>
  <li>Experience with building microservice based architecture for GenAI solutions. </li>
  <li>Experience in working with large-scale data sources in complex environments, and implementing scalable and efficient data processing pipelines. </li>
  <li>Expert knowledge in cloud platforms, especially Azure, in the context of GenAI solution development and deployment, and common tools in data science. </li>
  <li>Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems. </li>
  <li>Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners. </li>
  <li>Highly motivated and result driven. </li>Comfortable in handling changes and delivering results in complex situations. 
 </ul>
 <p><br> <b>What can we offer you? </b></p>
 <ul>
  <li>A competitive salary and benefits packages. </li>
  <li>A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills. </li>
  <li>A focus on growing your career path with us. </li>
  <li>Flexible work policies and strong work-life balance. </li>Professional development and leadership opportunities. 
 </ul>
 <p><br> <b>Our commitment to you </b></p>
 <ul>
  <li><b>Values-first culture: </b>We lead with our Values every day and bring them to life together. </li>
  <li><b>Boundless opportunity: </b>We create opportunities to learn and grow at every stage of your career. </li>
  <li><b>Continuous innovation </b>: We invite you to help redefine the future of financial services. </li>
  <li><b>Delivering the promise of Diversity, Equity and Inclusion: </b>We foster an inclusive workplace where everyone thrives. </li>
  <li><b>Championing Corporate Citizenship: </b>We build a business that benefits all partners and has a positive social and environmental impact. </li>
 </ul>
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 <p>#LI-Hybrid </p>
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 <p><b>About Manulife and John Hancock </b></p>
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 <p>Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong. </p>
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 <p><b>Manulife is an Equal Opportunity Employer </b></p>
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 <p><i>At Manulife </i><i>/John </i><i>Hancock </i><i>, we embrace our diversity. We strive to attract, </i><i>develop </i><i>and </i><i>retain </i><i>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, </i><i>retention, advancement </i><i>and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, </i><i>colour </i><i>, 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. </i></p>
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 <p><i>It is our priority to remove barriers to </i><i>provide </i><i>equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process </i><i>. </i><i>All information shared during the accommodation request process will be stored and used in a manner that is consistent with </i><i>applicable laws and Manulife/John Hancock policies </i><i>. To request a reasonable accommodation in the application process, contact </i><i>recruitment@manulife.com </i><i>. </i></p>
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        <p><b>Salary &amp; Benefits </b></p>
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 <p>The annual base salary for this role is listed below. </p>
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        <p><b>Primary Location </b></p>
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 <p><b>Salary range is expected to be between </b></p>$92,190.00 CAD - $171,210.00 CAD 
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 <p>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. </p>
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 <p>Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&amp;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.</p>
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Senior GenAI Engineer

You must have a graduate degree in CS or related field, experience leading AI/Machine Learning projects, expertise in Azure dev, and strong communication/leadership skills to excel in this role.

You will collaborate with Data Scientists to build and implement generative AI solutions, work with architects to create a high-performance environment, stay updated on AI advancements, drive ML Ops practices, and foster innovation within the team.

<p>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 Generative AI solutions with robust architecture, effective MLOps/LLMOps processes, and comprehensive controls. Additionally, we are looking for someone with extensive experience in <span style="background-color: transparent;">full stack Azure development</span> to ensure seamless integration and deployment of AI solutions.&nbsp;</p><p><span style="background-color: transparent;">Responsibilities</span></p><ul><li><span style="background-color: transparent;">Build Solutions</span>: Collaborate with Data Scientists to develop and implement generative AI solutions that solve complex business problems and deliver significant business value.</li><li><span style="background-color: transparent;">Multi-functional Collaboration</span>: Work closely with architects to build a high-performance environment where data scientists and engineers can develop and deploy GenAI solutions efficiently.</li><li><span style="background-color: transparent;">Solution Design</span>: Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables, and timelines.</li><li><span style="background-color: transparent;">Stay Updated</span>: Keep abreast of the latest advancements in AI technologies and methodologies, evaluating their potential applications to improve our AI engineering processes.</li><li><span style="background-color: transparent;">Adopt ML Ops Practices</span>: Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.</li><li><span style="background-color: transparent;">Foster Innovation</span>: Cultivate a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.</li></ul><p><span style="background-color: transparent;">What motivates you?</span></p><ul><li>You obsess about customers, listen, engage and act for their benefit.</li><li>You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.</li><li>You thrive in teams and enjoy getting things done together.</li><li>You take ownership and build solutions, focusing on what matters.</li><li>You do what is right, work with integrity and speak up.</li><li>You share your humanity, helping us build a diverse and inclusive work environment for everyone</li></ul><p><span style="background-color: transparent;">What we are looking for</span></p><ul><li><span style="background-color: transparent;">Educational Background</span>: Graduate degree in Computer Science, Engineering, or a related field.</li><li><span style="background-color: transparent;">GenAI/ML Solution Pods</span>: Experience with leading GenAI/ML Solution Pods for production-ready AI applications.</li><li><span style="background-color: transparent;">Release Management</span>: Experience with scaled-up release management for AI applications.</li><li><span style="background-color: transparent;">Microservice Architecture</span>: Experience in building microservice-based architecture for GenAI solutions.</li><li><span style="background-color: transparent;">Data Processing</span>: Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.</li><li><span style="background-color: transparent;">Azure Expertise</span>: 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.</li><li><span style="background-color: transparent;">Generative AI Knowledge</span>: Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.</li><li><span style="background-color: transparent;">Communication and Leadership</span>: Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.</li><li><span style="background-color: transparent;">Motivation and Results-Driven</span>: Highly motivated and results-driven, comfortable in handling changes, and delivering results in complex situations.</li></ul>

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 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. ResponsibilitiesBuild Solutions: 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.What motivates you?You obsess about customers, listen, engage and act for their benefit.You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.You thrive in teams and enjoy getting things done together.You take ownership and build solutions, focusing on what matters.You do what is right, work with integrity and speak up.You share your humanity, helping us build a diverse and inclusive work environment for everyoneWhat we are looking forEducational Background: Graduate degree in Computer Science, Engineering, or a related field.GenAI/ML Solution Pods: Experience with leading GenAI/ML Solution Pods for production-ready AI applications.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.

Manulife

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