This is a pivotal opportunity to shape Canada’s AI transformation through modern, enterprise grade MLOps capabilities. The Director will architect and operationalize solutions that enable scalable, reusable, and well governed AI deployments across segments.You will set the vision for MLOps in Canada, drive alignment with our global AI organization and partnering technology teams, and ensure consistency in patterns, tooling, and delivery practices. A critical part of the role includes leading change management—helping teams adopt new processes, modernize ways of working, and increase trust in AI powered solutions.The role also requires strong skills in experimentation and rapid prototyping, enabling fast learning cycles that accelerate innovation while maintaining high standards of security, compliance, and reliability. Working across business, engineering, and data science teams, you will influence enterprise architecture and ensure that AI initiatives translate into measurable, sustainable business impact.Position ResponsibilitiesDefine and architect MLOps capabilities and AI tooling to support Canada’s cross-segment initiatives and ensure scalability, governance and reuse.Hands‑on implementation of MLOps solutions, integration with new platforms and enabling the team of data scientists with infrastructure.Design solutions that enable model development, deployment, CI/CD automation and monitoring across multiple use cases.Implement and establish best practices for model validation, risk assessment, performance monitoring, and lifecycle management.Co‑design solutions with global AIOps/MLOps teams, IT, and data teams to align with enterprise standards and leverage shared platforms.Drive R&D for advanced AI capabilities, ensuring integration with modern cloud‑based platforms, agentic systems and next generation LLMOps tooling.Act as the subject matter expert for MLOps, guiding teams on automation, CI/CD for ML, observability, operational excellence, and model runtime optimization and operationalization of AI models.Ensure reliable environments (dev/test/prod/sandbox) are available, cost efficient, compliant, and ready for development and productionized AI workloads.Partners with product owners, business stakeholders and data scientists define clear pathways from experimentation to production, including guardrails for GenAI applications, APIs, agent workflows, and monitoring dashboards.Required Qualifications8+ years of experience in Data Science, Machine Learning Engineering, MLOps, or AI Engineering, with a strong focus on MLOps and solution architecture.Proven track record in designing and implementing scalable ML pipelines, real time/near real time scoring systems and AI platforms in enterprise environments.Expertise in model development, validation, deployment, GenAI workflows, agent orchestration, and monitoring using modern cloud (Azure preferred) and MLOps frameworks.Strong understanding of data assets, platforms, and advanced analytics concepts.Ability to lead cross‑functional initiatives and collaborate with IT, InfoSec, data governance and global AI teams.Excellent communication skills to influence technical and business stakeholders.Master’s degree or equivalent experience in Computer Science, Data Science, Engineering, or related quantitative fields.Experience with agentic AI platforms, orchestration frameworks such as LangChain style, Azure Agent Services, Adaptive ML, Akka and safe integration into enterprise systems.Preferred QualificationsFamiliarity and expertise with cloud AI platforms, enterprise architecture and modern LLMOps frameworks.Experience in financial services or regulated industries.When you join our teamWe’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-HybridThe role being advertised is an existing vacancy.宏利是平等機會僱主 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 。Referenced Salary Location Toronto, OntarioWorking Arrangement 混合式Salary range is expected to be between $113,260.00 CAD - $210,340.00 CADEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. 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. If you are applying for this role outside of the primary location, please contact for the salary range for your location.Benefits 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.We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.#J-18808-Ljbffr