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Manulife

Senior AI Engineer

Manulife

Senior AI Engineer designing, building, and deploying AI solutions for Long-Term Care at Manulife. Collaborating with cross-functional teams to enhance operational efficiency and customer experience.

Posted 6/26/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesSenior💰 $107,450 - $199,550 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Design, build, and deploy production-ready AI and ML solutions that support the Long-Term Care program
  • Partner with Data Scientists, Data Engineers, Business Analysts, and Product teams
  • Build and maintain modular, reusable ML and GenAI pipelines
  • Operationalize traditional ML models and predictive analytics solutions
  • Implement GenAI and LLM-based solutions
  • Deploy models and AI services into production using modern engineering practices
  • Monitor production models for performance
  • Collaborate with Risk, Legal, Compliance, Security, Architecture, and Cloud teams
  • Support model governance activities
  • Evaluate and adopt fit-for-purpose tools, frameworks, and platforms
  • Engineer AI services that integrate with business workflows
  • Continuously improve solution quality, scalability, maintainability, and cost efficiency
  • Stay current with emerging trends in AI, ML, GenAI, LLMOps, software engineering, cloud platforms, and financial services technology
  • Mentor junior engineers and data scientists

Requirements

What you’ll need
  • 5+ years of experience in AI Engineering, ML Engineering, Software Engineering, Data Science Engineering, or a related technical role
  • Strong programming skills in Python
  • Proven experience deploying ML or AI models into production cloud environments
  • Hands-on experience with MLOps practices
  • Experience monitoring model performance in production
  • Strong understanding of traditional machine learning and predictive analytics techniques
  • Practical experience with GenAI and LLM-based solutions
  • Experience working with cloud platforms, preferably Azure
  • Strong SQL skills
  • Experience with data engineering concepts

Benefits

Comp & perks
  • health, dental, mental health, vision insurance
  • short- and long-term disability
  • life and AD&D insurance coverage
  • adoption/surrogacy and wellness benefits
  • employee/family assistance plans
  • retirement savings plans (including pension/401(k) savings plans)
  • global share ownership plan with employer matching contributions
  • generous paid time off program (up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time)
  • full range of statutory leaves of absence

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Hard Skills & Tools
PythonMLOpsmachine learningpredictive analyticsGenAILLMSQLdata engineeringcloud environmentsAI services
Soft Skills
collaborationmentoringcommunicationproblem-solvingorganizational skillsleadership