Lead MLOps / LLM Ops (Director Level)

The Opportunity

The Lead MLOps / LLM Opswill own the design, recommendation & implementation of platform, infrastructure and best MLOps / LLMOps practices to support all data science teams and projects in US Segment Advanced Analytics! Directly report of Head of US Segment AI / Advanced Analytics, this role will closely work with multi-functional teams such as IT, Data Office, Operation, Sales & Distribution, etc. to strategize and implement AI / Advanced Analytics applications and deployment. It's a unique position to bring innovative ideas (such as Gen-AI solutions) to life and have business impact directly with sound architecture, effective MLOps / LLMOps processes and comprehensive controls!

Responsibilities

• Design and implement optimal MLOps framework, standards, and guidelines, maintaining the central GitHub MLOps repository, driving adption and fostering a community around it.
• Work closely with Data Scientists, Data & Platform Engineers, Architects and IT partners to design and implement MLOps / LLMOps processes to enable seamless deployment, integration with systems and monitoring of AI models on cloud environment.
• Lead and manage high-quality Generative AI tech development (prompt engineering, RAG applications, and fine-tune LLM models to meet business need) and streamline Generative AI model development and deployment using Azure infrastructure and capabilities like Azure AI studio
• Manage and architect AI solutions and deployment with systematic approach to allow implementation at-scale
• Continually assess maturity of teams MLOps / LLM Ops tools and practices, establish and drive standard methodologies for model versioning, testing, and monitoring to ensure the reliability and performance of AI / ML solutions
• Jointly shape the global rollout of Continuous Monitoring capabilities, working closely with cloud and 3rd party vendors ensuring reliability and scalability, and maintaining comprehensive documentation of MLOps processes and procedures
• Develop close partnership with Data Science Teams, Data Office and IT partners, foster strong collaboration
• Stay up to date with the latest advancements in machine learning and MLOps / LLMOps techniques, closely follow industrial trend, and contribute to the continuous improvement of our machine learning capabilities.

What motivates you?

What we are looking for

Preferred Qualifications

What can we offer you?

Our commitment to you

LI-Hybrid

LI-JH

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.

Primary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

124,250.00 USD - $230,750.00 USD

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 / John Hancock 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 / 401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify I Pay Transparency

Company : John Hancock Life Insurance Company (U.S.A.)

Salary : $124,250 - $230,750