Manulife · 10 hours ago
AI Engineer, Asset Management
Boston, Massachusetts
Full-time
Hybrid
Entry, Mid Level
$127K/yr - $236K/yr
1+ years expManulife Wealth and Asset Management is seeking a motivated AI Engineer to focus on Investment Management Applications. The role involves collaborating with investment teams to develop AI solutions, data pipelines, and tools while enhancing MLOps practices.
FinanceFinancial ExchangesFinancial Services
Responsibilities
Work with front office analysts and portfolio managers to identify AI/ML project opportunities, develop lightweight prototypes, and implement key capabilities in a microservices framework
Lead data model design and implementation within the Asset Management AI group
Support automated data mapping, cataloging, and data quality testing prior to hand off to division data team for production
Monitor daily data quality checks, support internal teams on reconciliation and remediation as needed
Contribute to defining and implementing effective practices and standards for MLOps processes to ensure efficient and streamlined operations
Assist in implementing and managing CI/CD pipelines to automate testing and deployment processes, ensuring efficient and reliable operations
Stay updated with industry advancements in LLM and Generative AI models, enhancing MLOps capabilities to support LLM Ops needs
Collaborate with the information technology group to understand, align, and inform standards and governance to support data quality in CI/CD workflows in a DevSecOps framework
Support near term future state projects to improve ETL, compute, storage, and hosting in Azure using tools such as Databricks, Kubernetes, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics (AWS, Google Cloud Equivalents ok as well)
Qualification
Required
Educational Background: PhD, Masters or equivalent experience in Computer Science, Data Science, Statistics, or a related field
CFA Charter or demonstrated progress
Data engineering experience in an investment context
AI Experience: 1-2 years of experience in building and maintaining AI infrastructure and tooling
Preferred
Experience working with investment data, including understanding of security characteristics, propagation up and down the hierarchy, and the impact of corporation actions
Experience in deploying and maintaining RAG pipelines and working with vector databases like MongodB/ LancedB
Experience developing within an agentic framework, using Langgraph, Semantic Kernel, etc
Proven success with ETL Development, schema management, API design, data operations, and data architecture
Understanding of the research process showcased by at least one publication
Software Development: Proficiency in Python and experience with developing libraries and applications
CI/CD Tools: Experience with CI/CD tools and pipelines
Cloud and Containerization: Familiarity with cloud platforms (preferably Azure), ML development environments (Databricks), and containerization technologies (Docker, Kubernetes)
Experiment Tracking and Monitoring: Exposure to experiment tracking tools (e.g., MLFlow) and monitoring solutions
Strong communication skills, able to explain complex concepts to various collaborators
Understanding of ML Lifecycle: Basic understanding of the machine learning lifecycle and standard methodologies in MLOps
LLM/GenAI Models: Basic understanding of LLM/GenAI models and their operational requirements
Databricks Ecosystem Expertise: Hands-on expertise in the Databricks ecosystem, particularly model management using Unity Catalog
Full Stack Engineering Exposure: Ability to build proof of concepts/demos including both front-end and back-end development
Adaptability: Demonstrated proficiency in quickly picking up new frameworks and libraries
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)
Financial education and counseling resources
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)
Company
Manulife
Manulife is a leading international financial services group that helps people make their decisions easier and lives better.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.31B2025-12-02Post Ipo Debt· $1B
2024-06-11Post Ipo Debt· $363.5M
2023-03-07Post Ipo Debt· $1.2B
Leadership Team
Phil Witherington
President and CEO
Steve Finch
President and CEO, Manulife Asia
Recent News
2026-01-21
Company data provided by crunchbase