GEN AI Engineer

Manulife; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial services company in Toronto is seeking a talented individual to design, build, and maintain data pipelines for AI applications. The ideal candidate will collaborate with Data Scientists to develop Generative AI solutions and deploy machine learning models into production. With expertise in Azure environments and CI/CD pipelines, you will play a critical role in optimizing performance and scalability of Generative AI applications. The role offers a flexible environment focused on inclusion and well-being.

Benefits

Career growth opportunities

Flexible work environment

Supportive team culture

Qualifications

• Strong understanding of Generative AI and related concepts.
• Hands-on experience in Azure, including Databricks and Data Factory.
• Expertise in deploying ML models in production environments.

Responsibilities

• Design and maintain data pipelines for AI applications.
• Collaborate with Data Scientists to develop GenAI solutions.
• Deploy machine learning models into production.

Skills

Generative AI concepts

CI/CD pipelines

Python

Azure environments

Git

SQL

NoSQL databases

Machine Learning deployment

Tools

Databricks

Data Factory

Terraform

Job description

Position 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

When you join our team

• 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.

Manulife is an Equal Opportunity Employer

Manulife embraces diversity. We are committed to attracting, developing, and retaining a workforce that reflects the diversity of the communities we serve, and to fostering an inclusive workplace culture that embraces and values differences. We are dedicated to maintaining fair hiring, retention, promotion, and compensation practices, and all our practices and initiatives will not discriminate on the basis of race, ethnicity, national origin, color, religion, or any other factor. For assistance, please contact [e-mail].