Senior GenAI & Actuarial AI Engineer for Enterprise Scale

Société Financière Manuvie; Toronto; Hybrid; CAD 129,000 - 179,000; Full time

Job summary

Manulife’s AI team is scaling advanced analytics to transform decision making across Finance and actuarial functions. You will translate business problems into machine learning and GenAI use cases, build reusable production components, and ensure explainability, monitoring, and governance across enterprise workflows.

You will collaborate with data and ML engineering to productionize pipelines, implement robust evaluation, and mentor junior scientists while maintaining strict data privacy and

Qualifications

• 6-10 years of experience in applied data science, machine learning, or advanced analytics, with demonstrated end-to-end delivery into production beyond notebooks, including support for UAT and post-launch iteration.
• Strong Python and SQL, with solid software engineering practices: Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, and basic performance tuning.
• Hands‑on experience with modern DS/ML tooling such as scikit‑learn, PyTorch or TensorFlow, and distributed processing platforms such as Spark or Databricks, including feature engineering and model development at scale.
• Demonstrated ability to design and communicate solution architecture: produce clear diagrams and short specs covering data flow, runtime flow, interfaces, dependencies, failure modes, and operational controls; align stakeholders on trade‑offs and scope.
• Strong evaluation skills across ML and advanced analytics: backtesting or out‑of‑time testing, metric selection, error analysis, stability testing, and sensitivity analysis; ability to translate evaluation into business‑ready acceptance criteria.
• Experience building and operating monitored solutions: data quality checks, drift detection, performance deterioration monitoring, alerting, and practical remediation approaches.
• Strong communication and stakeholder management: ability to explain outputs, limitations, uncertainty, and design decisions in plain language, and drive adoption in business workflows with domain partners.
• Working knowledge of GenAI and agentic patterns, including when they add value and how to deploy them responsibly; experience contributing to at least one GenAI‑enabled capability such as retrieval‑based solutions, structured summarization/extraction, or tool‑using workflows.

Responsibilities

• Translate business problems into AI use cases and solutions for actuarial needs.
• Own end-to-end solution design for actuarial AI, including data flow, modeling approach, evaluation, and controls.
• Build GenAI capabilities such as retrieval-based solutions, structured summarization, and guided analytical workflows.
• Set evaluation criteria and evidence through backtesting, scenario analysis, and human-in-the-loop reviews.
• Collaborate with data/ML engineering and software teams to productionize pipelines, CI/CD, deployment, and monitoring.
• Work in a governed environment with documentation, model risk evidence, and data/privacy controls.
• Mentor junior scientists and promote reusable design templates and evaluation practices.

Skills

Python

SQL

Git workflows

Testing

scikit-learn

PyTorch/TensorFlow

Spark/Databricks

Model development

Communication

Tools

Databricks

Spark

Git

Job description

Manulife’s AI team is scaling advanced analytics to transform decision making across Finance and actuarial functions. You will translate business problems into machine learning and GenAI use cases, build reusable production components, and ensure explainability, monitoring, and governance across enterprise workflows.

You will collaborate with data and ML engineering to productionize pipelines, implement robust evaluation, and mentor junior scientists while maintaining strict data privacy and