Machine Learning Engineer – Graph & Agentic Systems

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 inno