AI Engineer

AI Engineer will join the Group Functions AI team, focusing on designing and shipping production‑grade AI services that power Global Risk, Compliance, 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 Dev Ops 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.

• 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 Git Hub Actions or Azure Dev Ops.
• Stand‑up and maintain observability stacks (logging, tracing, metrics, alerting) to ensure SLA/SLO compliance.
• Integrate AI services into Risk, Compliance, Procurement, etc. workflows via robust REST/Graph
  
  QL APIs and event streams.
• Guide solution architecture with Cloud & Security teams—infra‑as‑code (Terraform/Bicep), network policies, secrets management.
• Evaluate and implement GenAI patterns (prompt orchestration, RAG, guardrails) on Azure OpenAI, Databricks, and internal LLMs.
• Champion engineering best practices and mentor peers on clean code, test automation, and MLOps standards.
• Stay current with advances in ML, GenAI, and Dev Sec Ops ; introduce fit-for-purpose tools and frameworks to the team.

• 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.
• Advanced SQL skills and proficiency with both relational (Postgre
  
  SQL, SQL Server) and No
  
  SQL/analytic stores (Cosmos
  
  DB, Delta Lake).
• Big‑data processing using Spark/Databricks; ability to build high‑throughput ETL/ELT and feature‑engineering workflows.
• Experience deploying or fine‑tuning LLMs and working with vector databases (Elastic, Azure Cognitive Search, Pinecone).
• Demonstrated ability to balance urgency with delivering high‑quality, well‑documented solutions.

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

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible, inclusive environment where well‑being truly matters.
• As part of our distributed Group Function AI team, you’ll shape the next generation of AI that drives Manulife’s global success.

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