Associate AI Engineer

Manulife • Boston, MA

11d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• Exposure to GenAI or LLMs (e.g., prompt engineering, APIs, embeddings, or RAG concepts).
• Basic understanding of cloud platforms (preferably Azure) and modern development tools.
• Familiarity with version control (Git) and basic software engineering practices.
• Basic knowledge of data processing using SQL or data tools.
• Strong problem-solving skills and willingness to learn.
• Good communication skills and ability to work in a team environment.

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.

Benefits

• 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.
• 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.
• 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
• full range of statutory leaves of absence.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level