The Associate AI Engineer will join the AI team supporting the Long-Term Care program in John Hancock and Manulife. This role will contribute to building, deploying, and maintaining AI solutions that improve business processes, risk insights, and customer experience across the Long-Term Care value chain.

The ideal candidate is a quick learner, eager to build hands-on experience in machine learning, Generative AI, and production AI systems, and interested in staying current with emerging trends in AI, engineering, and cloud technologies. You will work closely with senior engineers, data scientists, and business partners to turn ideas and prototypes into production-ready AI solutions.

Position Responsibilities:

Support the design, development, and deployment of AI and ML solutions for the Long-Term Care program.
Work with Data Scientists and AI Engineers to help build and maintain ML and GenAI pipelines (data preparation, feature engineering, model training, and evaluation).
Assist in deploying models into production environments using modern engineering practices.
Help monitor model performance, including accuracy, drift, and reliability, and support troubleshooting and improvements.
Contribute to both traditional ML use cases (predictive models, classification, forecasting) and GenAI use cases (summarization, document processing, RAG, automation).
Develop and maintain APIs and services that integrate AI solutions into business workflows.
Follow established MLOps and LLMOps practices, including version control, testing, and documentation.
Support building observability tools such as logging, dashboards, and alerts.
Collaborate with cross-functional teams including engineering, data, business, and governance teams.
Ensure solutions follow enterprise standards for security, compliance, and responsible AI.
Continuously learn and apply new tools, frameworks, and best practices in AI, ML, and software engineering.

Required Qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
Strong programming skills in Python.
Foundational understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, feature engineering).
Basic experience with ML or AI projects, either through coursework, internships, or personal projects.

Position Responsibilities:

Support the design, development, and deployment of AI and ML solutions for the Long-Term Care program.
Work with Data Scientists and AI Engineers to help build and maintain ML and GenAI pipelines (data preparation, feature engineering, model training, and evaluation).
Assist in deploying models into production environments using modern engineering practices.
Help monitor model performance, including accuracy, drift, and reliability, and support troubleshooting and improvements.
Contribute to both traditional ML use cases (predictive models, classification, forecasting) and GenAI use cases (summarization, document processing, RAG, automation).
Develop and maintain APIs and services that integrate AI solutions into business workflows.
Follow established MLOps and LLMOps practices, including version control, testing, and documentation.
Support building observability tools such as logging, dashboards, and alerts.
Collaborate with cross-functional teams including engineering, data, business, and governance teams.
Ensure solutions follow enterprise standards for security, compliance, and responsible AI.
Continuously learn and apply new tools, frameworks, and best practices in AI, ML, and software engineering.

Required Qualifications:

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field.
Strong programming skills in Python.
Foundational understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, feature engineering).
Basic experience with ML or AI projects, either through coursework, internships, or personal projects.

Associate AI Engineer

Associate AI Engineer

Manulife

Manulife

Benefits

Manulife