Manulife is making a significant investment in Advanced Analytics and GenAI to transform how Finance, Treasury, and Actuarial teams make decisions! Our AI team builds practical, governed solutions that move from idea to implementation and are adopted in real business workflows. We’re hiring two Applied AI Engineers with strong modeling skills, solution development experience, and a product outlook.

They will build AI and GenAI capabilities that integrate into real business workflows. These solutions must be reliable for engineers to implement, easy for collaborators to understand and use, and clear for governance teams to review with evidence, testing, and controls. Own end-to-end solution design (GenAI + ML) Translate business problems into a clear solution approach: user workflow, data flow, model approach, evaluation plan, and operational controls.

Create lightweight, high-quality design artifacts (e.g., system context, runtime sequence, agent/tool map, data lineage, decision log) that make build and governance straightforward. Make smart design trade-offs: accuracy vs explainability, cost vs performance, speed vs robustness. Develop ML solutions such as forecasting, classification, NLP, optimization, anomaly detection, and scenario analysis.

Engineer features from structured + unstructured data and ensure solutions remain stable as data evolves. Define performance expectations with collaborators and implement backtesting / out-of-time testing and error analysis. For GenAI, 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: data 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 the documentation and evidence required for model risk review (assumptions, validation results, monitoring plan, UAT evidence, and approvals).

Ensure privacy/security expectations are met through data minimization, appropriate access controls, and safe handling of sensitive information. Help standardize “how we build” (templates, checklists, examples) so delivery becomes faster and more consistent. 4–7 years of experience in applied data science / machine learning, with demonstrated end-to-end delivery into production (beyond notebooks), including support for UAT and post-launch iteration. ~ Strong Python + SQL, with solid software engineering practices: Git-based workflows, code reviews, unit/integration testing, logging, readable code structure, and basic performance tuning. ~ Hands-on experience with modern DS/ML tooling (e.g., scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar), including feature engineering and model development at scale.



~ Create clear diagrams and concise specs that include data flow, runtime flow, interfaces, failure modes, and operational controls. ~ Experience building and evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, classification with LLMs, tool/function calling, or agentic workflows (multi-step orchestration with tools/data stores). ~ Strong evaluation skills across ML and GenAI: backtesting/holdouts, metric selection, error analysis, and quality evaluation frameworks for GenAI (scenario coverage, edge cases, human review rubrics, regression tests). ~ Understanding of production readiness: monitoring for data quality and drift, performance deterioration, cost/latency considerations for GenAI, and practical remediation approaches. ~ Strong communication and collaborator management: ability to explain outputs, limitations, uncertainty, and build decisions in plain language and drive adoption in business workflows.

Experience with cloud-based data/ML stacks and production patterns: model registry, CI/CD, monitoring, APIs/microservices, and automation for retraining or refresh cycles. Familiarity with modern GenAI engineering components such as vector databases, embedding strategies, semantic search, and orchestration frameworks (e.g., Experience working in Finance, Treasury, Insurance, IFRS-17, or Actuarial environments and/or within model governance practices (documentation, validation evidence, monitoring plans).

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

Manulife Financial

Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals.

We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation,



genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies.

Referenced Salary Location

Toronto, OntarioWorking Arrangement Hybrid Salary range is expected to be between $94,430.00 CAD - $144,430.00 CAD. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D; insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement. It’s what inspires us to find new ways to support customers and colleagues in living longer and healthier lives.

It’s the reason we’re dedicated to investing in digital innovation and industry-leading AI, and accelerating a sustainable and economically inclusive future. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you’ll help shape the future you want to see – and discover that better can take you anywhere you want to go. 2026 Gallup Exceptional Workplace Award Winner Manulife Named one of Forbes World’s Best Employers 2025 Financial Times World’s Best Employers Asia-Pacific 2026 We’ve been recognized as one of Canada’s Top 100 Employers 2026 #1 Life Insurer for AI Maturity by Evident 2026 To receive our latest job opportunities directly to your inbox, create an account or sign in and navigate to the ‘Job Alerts’ section located in the top right corner of the page.

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📌 Applied AI Engineer - GenAI Systems (Toronto)
🏢 Manulife/John Hancock
📍 Toronto