Manulife’s Group Functions AI team is scaling AI and advanced analytics capabilities across Finance, Treasury, Actuarial, and related enterprise functions to improve how decisions are made and how insights are generated. This role focuses on building solutions that use machine learning, GenAI, and modern analytical approaches to solve business problems at enterprise scale. In this role, you will take business problem contexts and translate them into AI use cases such as predictive modeling, segmentation, anomaly detection, scenario analysis, and automation of analytical workflows.

The emphasis is on building reusable, production-ready components that integrate into business workflows, with clear explainability, strong evaluation, ongoing monitoring, and governance-ready evidence. You will work closely with business stakeholders and engineering partners to deliver solutions that are explainable, robust, and operationally sustainable-helping accelerate decision cycles, improve consistency, and enable teams to focus on higher-value judgment where it matters. Own end-to-end solution design for actuarial AI Translate business problems into a clear solution approach: business workflow, data flow, modeling approach, evaluation plan, and operational controls.

Create lightweight, high-quality design artifacts (e.g., system context, runtime sequence, agent/tool map where applicable, data lineage, decision log) that make build and governance straightforward. Build strong ML, GenAI, and agentic capabilities for actuarial use cases Develop models such as predictive risk and behavior models, forecasting and scenario models, segmentation, anomaly detection, and optimization approaches. Where applicable, design agentic workflows that coordinate multiple steps and tools (e.g., retrieval, calculations, rules, and structured outputs) while maintaining traceability and controls.

Engineer features from large structured and unstructured datasets and ensure solutions remain stable as data and assumptions evolve. Define performance expectations with stakeholders and implement out-of-time testing, backtesting, error analysis, stability checks, and sensitivity analysis. For GenAI and agentic workflows, design practical evaluation: scenario coverage, edge cases, human review rubrics, quality scoring,



and regression testing.

Collaborate with data engineering, ML engineering, and software teams to productionize: pipelines, model packaging, CI/CD, deployment, and monitoring. Implement monitoring for data quality, drift, performance deterioration, and operational failures; Contribute to runbooks and support adoption and UAT with business users. Produce documentation and evidence required for model risk review, including assumptions, validation results, monitoring plans, and UAT evidence.

Ensure privacy and security expectations are met through data minimization, appropriate access controls, and safe handling of sensitive information. Help standardize how we build solutions using reusable templates, checklists, and examples to improve consistency and delivery speed. 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 transparent diagrams and short specs covering data flow, runtime flow, interfaces, dependencies, failure modes, and operational controls; Strong evaluation skills across ML and advanced analytics: backtesting or out‑of‑time testing, metric selection, error analysis, stability testing, and sensitivity analysis;

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. ~ Experience delivering solutions in governed environments, including documentation, validation evidence, monitoring plans, UAT support, and approvals.

Experience implementing GenAI guardrails including accuracy controls, safe output formatting, data minimization, access controls, and human review workflows. We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.

Le poste annoncé correspond à une vacance existante. 129,400.00 CAD - $179,400.00 CAD Les employés ont également la possibilité de participer à des programmes incitatifs et de recevoir une rémunération liée à la performance de l’entreprise et des individus. Le salaire réel variera selon les conditions du marché local, la région géographique et les facteurs propres au poste, tels que les connaissances, les compétences, les qualifications, l’expérience et la formation. Manuvie offre aux employés admissibles une vaste gamme d’avantages sociaux personnalisables, notamment une assurance soins médicaux, soins dentaires, santé mentale, soins de la vue, invalidité de courte et de longue durée, assurance vie et assurance DMA, assurance adoption, de maternité de substitution et de soins médicaux non urgents ainsi que des programmes d’aide aux employés et leur famille.

Nous proposons également aux employés admissibles différents régimes d’épargne-retraite (y compris des régimes de rente et un programme international d’actionnariat assortie de cotisations patronales de contrepartie) ainsi que des ressources en matière d’éducation et de conseils financiers. Nous utilisons des technologies de données et d’analytique, telles que l’intelligence artificielle (IA), ainsi que des outils de traitement automatisé pour analyser et traiter les renseignements que vous nous fournissez ou que des tiers nous transmettent dans le cadre du processus de demande.

📌 Senior applied ai engineer - genai & actuarial systems (Toronto)
🏢 Société Financière Manuvie
📍 Toronto