Ai Engineer (Toronto)

Ai Engineer (Toronto)

22 Oct
|
Manulife Financial
|
Toronto

22 Oct

Manulife Financial

Toronto

The AI Engineer will join the Group Functions AI team, focusing on designing and shipping production-grade AI services that power Global Risk, Compliance, Legal, Procurement, and emerging GenAI solutions across the enterprise The ideal candidate should be an advanced programmer with a strong grasp of Data Science, Data Engineering, Application Development, Software Engineering, and DevOps/LLMOps who has a mix of software craftsmanship, cloud-native engineering, and machine-learning know-how to turn data-science prototypes into reliable, business-critical products

Position Responsibilities

- Collaborate with Data Scientists and Data Engineers to build modular, reusable ML & GenAI pipelines (feature stores, model registries, automated retraining).
- Engineer and optimize models for performance, cost, and scalability;

run A/B or challenger tests and track data/model drift.
- Own production deployment: containerize models (Docker), orchestrate with Kubernetes/AKS, and automate CI/CD with GitHub Actions or Azure DevOps.
- Stand up production observability for agentic services using OpenTelemetry-based tracing, metrics, and logs, enabling end-to-end visibility across model calls, tool calls, retrieval steps, latency, and errors.
- Build and maintain FastAPI-based and RESTful APIs, with production-grade practices (versioning, validation, auth, error handling, and performance).
- Design monitoring around agent run lifecycle concepts (threads/runs/steps), ensuring every agent execution can be replayed and diagnosed by walking the ordered sequence of operations and nested calls.




- Establish timely/config/workflow versioning and release process rigor: traceable changes, reproducible runs, and safe rollbacks for prompts, agent graphs, retrieval configs, and model settings.
- Guide solution architecture with Cloud & Security teams, network policies, secrets management.
- Implement and productionize GenAI patterns (prompt/context orchestration, RAG, guardrails) on Azure AI Foundry, Databricks, and internal LLMs.
- Champion engineering guidelines and mentor peers on clean code, test automation, and MLOps/LLMOps standards.
- Stay ahead of advances in ML, GenAI, and DevSecOps;

introduce fit-for-purpose tools and frameworks to the team.

Required Qualifications
- 5+ years delivering high-availability software in Python
- Proven experience operationalizing ML/GenAI models in cloud environments (Azure preferred) using Docker, Kubernetes/AKS, MLflow or Azure ML.
- Hands-on with CI/CD pipelines, unit/integration tests, code-quality scanning, and blue-green or canary releases.
- Experience operating LLM/agentic workloads: tracing agent runs (threads/steps/tool calls), debugging multi-step workflows, and controlling cost/latency at scale.




- Experience building and operating data-driven AI/ML applications using Azure Databricks for compute and orchestration, Azure Data Lake for scalable storage, and Cosmos DB for low-latency operational data and application state.
- Experience deploying and/or fine-tuning LLMs and working with vector databases (Azure AI Search, Pinecone).
- Experience with LLM observability and evaluation frameworks (e.G., LangSmith, Langfuse,…) to support production tracing, prompt/version tracking, and offline/online evaluation.
- Demonstrated ability to balance urgency with delivering high-quality, well-documented solutions.

Preferred Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical field, or equivalent experience in the industry.
- Master’s or PhD degree in a relevant field is an asset and may substitute for part of the required experience.

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 adaptable environment where well-being and inclusion are more than just words.
- As part of our distributed Group Function AI team, you’ll shape the next generation of AI that drives Manulife’s global success.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit

Manulife is an Equal Opportunity E

📌 Ai Engineer (Toronto)
🏢 Manulife Financial
📍 Toronto

Reply to this offer

Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.

Subscribe to this job alert:

Get the latest job offers by email for: ai engineer (toronto) / toronto

Subscribe to this job alert:

Get the latest job offers by email for: ai engineer (toronto) / toronto