Machine Learning Engineer – Graph & Agentic Systems
USA, Massachusetts, Boston, 200 Berkeley Street, United States
Full Time Mid-level / Intermediate USD 87K - 163K
Manulife
Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.The opportunity
John Hancock is a leading life and long-term insurance provider that combines a rich history of financial expertise with a forward-thinking approach to technology.
As part of the global Manulife group, we focus on integrating cutting-edge analytics and AI to enhance fraud detection and streamline our operations.
Our Advance Analytics is dedicated to revolutionizing insurance through the use of advanced technologies and innovative data solutions.
We are seeking a skilled Machine Learning Engineer with expertise in knowledge graphs, agentic systems, and building applications for complex document parsing.
Responsibilities
You will work with data scientists, data engineers, and the anti-fraud team to design, implement, and maintain knowledge graphs that serve as the data backbone for analytics and investigations. Downstream processes will require building agentic systems leveraging GraphRAG frameworks or fine tuned language models to enhance fraud detection tools and deliver complex document parsing tools to enable new data channels.
Design and implement scalable knowledge graph solutions to model complex relationships of the insurance ecosystem.
Design and implement AI agents that can interact with multiple knowledge bases, including graphs, to accelerate the work of fraud investigators
Create solutions for parsing and extracting critical elements from complex documents using agentic and GraphRAG methods.
Collaborate with data scientists and engineers to integrate knowledge graph systems within existing analytics and operational tools.
Stay up to date with the newest technologies in knowledge graphs, agentic systems, and document parsing to propose innovative strategies.
Thoroughly document methodologies and processes to ensure industry-standard compliance and knowledge transfer.
Ensure all data handling processes comply with relevant privacy and security standards.
How will you create an impact?
Join our Advanced Analytics team and play a role in crafting the future of the insurance industry. Leverage new technology to provide better and personalized customer experiences.
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
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
At least 3 years of experience in machine learning engineering, including building and productizing AI models and systems.
Experience with building graph databases and frameworks (e.g., Neo4j, GraphX).
Proficiency with Python, including experience with libraries and frameworks relevant to AI application development (e.g., LangChain, Streamlit, LlamaIndex, etc.)
Proficiency in training or fine-tuning language models (e.g., BERT, Llama, GPT) and their optimization (LoRA, knowledge distillation, pruning and quantization)
Experience with implementing complex document parsing using agentic systems and RAG methodologies.
Familiarity with Cloud Services e.g., Azure (preferred), AWS, GCP
Strong software engineering fundamentals that emphasize code reliability, maintainability and readability
Excellent problem-solving and analytical skills, with an ability to work closely in teams with multiple functions.
Experience with agile methodologies and project management tools like JIRA or Confluence.
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 stakeholders and has a positive social and environmental impact.
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, MassachusettsWorking Arrangement
HybridSalary range is expected to be between
$87,990.00 USD - $163,410.00 USDIf 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.)Tags: Agile AWS Azure BERT Computer Science Confluence Engineering GCP GPT Jira LangChain LLaMA LoRA Machine Learning Neo4j Privacy Python RAG Security Streamlit
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Wellness
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