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.

Software Engineering

Canada

Toronto

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

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.&nbsp;Responsibilities<ul><li>Build Solutions: Collaborate with Data Scientists to develop and implement generative AI solutions that solve complex business problems and deliver significant business value.</li><li>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.</li><li>Solution Design: Serve as a key member of the solution design group to clearly define technical solutions, project requirements, deliverables, and timelines.</li><li>Stay Updated: Keep abreast of the latest advancements in AI technologies and methodologies, evaluating their potential applications to improve our AI engineering processes.</li><li>Adopt ML Ops Practices: Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.</li><li>Foster Innovation: Cultivate a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.</li></ul>What motivates you?<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>What we are looking for<ul><li>Educational Background: Graduate degree in Computer Science, Engineering, or a related field.</li><li>GenAI/ML Solution Pods: Experience with leading GenAI/ML Solution Pods for production-ready AI applications.</li><li>Release Management: Experience with scaled-up release management for AI applications.</li><li>Microservice Architecture: Experience in building microservice-based architecture for GenAI solutions.</li><li>Data Processing: Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.</li><li>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.</li><li>Generative AI Knowledge: Solid understanding of generative AI models and algorithms, and their applications in solving complex business problems.</li><li>Communication and Leadership: Strong communication and leadership skills, with the ability to effectively collaborate with multi-functional teams and partners.</li><li>Motivation and Results-Driven: 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.

Generative AI Engineer

Requirements

Responsibilities

FAQs

What educational background is required for the Generative AI Engineer position?

Manulife

Mission & Purpose