GEN AI Engineer

Manulife•Toronto, ON

10d•Hybrid

About The Position

As a GenAI Engineer at Manulife, you will design, build, and maintain advanced data and AI solutions that power our next generation of intelligent applications. You will develop scalable data infrastructure, pipelines, and models that support Generative AI use cases across the organization. This role blends modern data engineering, GenAI innovation, machine learning deployment, and solution design—driving meaningful business outcomes and helping shape the future of AI at Manulife.

Requirements

Strong understanding of Generative AI concepts, including model architectures, algorithms, and business applications.
Experience with data indexing, chunking, and optimizing RAG (Retrieval-Augmented Generation) patterns.
Expertise with CI/CD pipelines and release management for AI or GenAI applications.
Hands-on experience working in Azure environments, including Databricks, Data Factory, Storage Accounts, and related services.
Strong proficiency in Python, PySpark, and SQL.
Experience using Git for version control and codebase management.
Knowledge of microservice-based architectures for GenAI solutions.
Understanding of database systems, data lakes, NoSQL databases, and large-scale distributed data solutions.
Demonstrated experience deploying and supporting large-scale ML or GenAI models in production.
Excellent communication skills and the ability to collaborate effectively across cross-functional teams.
Highly motivated, adaptable, and results-oriented, with the ability to thrive in complex, evolving environments.

Nice To Haves

Experience optimizing model performance and ensuring scalability to meet enterprise workloads.
Familiarity with deploying LLMs in cloud environments and setting up monitoring (accuracy, latency, throughput).
Terraform or Infrastructure‑as‑Code experience for provisioning cloud resources.
Background in ML Ops, data orchestration, or cloud-native AI infrastructure.

Responsibilities

Design, build, and maintain data pipelines to ingest, curate, and index data for AI and Generative AI applications.
Collaborate with Data Scientists to develop GenAI solutions that solve complex business problems and drive measurable value.
Build scripts, automation, and analytical tools that accelerate data engineering and model deployment activities.
Partner with architects and technical leaders to design high-performing GenAI applications aligned with business objectives.
Deploy machine learning and GenAI models into production environments, ensuring interoperability with systems, APIs, and data sources.
Participate in solution design sessions, defining technical requirements, deliverables, and timelines.
Stay current on emerging AI technologies and evaluate their application to improve engineering processes.
Adopt and promote ML Ops best practices for efficient, reliable model deployment and lifecycle management.
Contribute to a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.

Benefits

We’ll empower you to learn and grow the career you want.
We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.
opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
health insurance coverage
dental insurance coverage
mental health coverage
vision insurance coverage
short- and long-term disability insurance coverage
life and AD&D insurance coverage
adoption/surrogacy benefits
wellness benefits
employee/family assistance plans
various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
financial education and counseling resources
generous paid time off program in Canada includes holidays
vacation days
personal days
sick days
full range of statutory leaves of absence.