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Added 1 day ago
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Canada Impact+ Emerging Leader in AI-integrated Biomedical Devices
UVic Engineering and Computer Science
Victoria, BC
- Full-time
The Faculty of Engineering and Computer Science at the University of Victoria seeks to recruit a world-class junior faculty member for a Canada Impact+ Emerging Leader position in…
Added 2 days ago
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Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
We are seeking a Senior Full Stack AI Engineer who can combine strong hands-on software engineering with technical engagement and project delivery leadership. The successful candidate will…
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and…
Added 4 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Missions System International
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 4 days ago
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Cloud DevOps
SOTI
Mississauga, ON
- Full-time
Mentor and train junior team members on design techniques and coding standards.
Added 4 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 5 days ago
RB
Senior Principal AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 5 days ago
SL
Principal AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Canada IT – Platforms and Engineering Domain is looking for a Principal AI Engineer with at least 10 years of engineering experience. This role will be instrumental in driving innovation,…
Added 5 days ago
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AI Inference Core - Senior SDET, Release Integration Testing
Cerebras
Toronto, ON
- Full-time
We are looking for an experienced, hands-on Senior Software Development Engineer in Test (SDET) to join the Release Integration Testing (RIT) function within Release & Feature Qualification…
Added 5 days ago
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Senior Principal AI Engineer
RBC
Toronto, ON
- Full-time
We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML…
Added 7 days ago
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AI Engineer [Junior]
Augmented
Toronto, ON
- Full-time
Augmented is hiring a Junior AI Engineer to help build and ship AI-powered applications for large enterprise clients in regulated industries. You will work alongside senior engineers on…
Added 8 days ago
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Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
Citi’s Banking Technology organization is seeking a highly hands-on Lead Software Engineer to design, build, and deploy cutting‑edge AI solutions for Investment, Corporate, and Commercial…
Added 9 days ago
AI and Data - Senior Consultant - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 9 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 9 days ago
YD
Senior Software Engineer
Yeji Data Lab
Montreal, QC
- Full-time
We are currently searching for a Senior Software Engineer to collaborate with our exceptional, growing team of business and AI specialists at Yeji Data Lab. The ideal candidate should…
Added 9 days ago
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Senior Java Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Assistant Vice President (AVP), Software Senior Engineer, to design, develop, and maintain robust middleware solutions. The ideal candidate will have deep…
Added 11 days ago
GD
Mechanical Engineering Developer
General Dynamics Missions System International
Ottawa, ON
- Full-time
We're looking for a Mechanical Engineer to support the development of mechanical designs and engineering systems across various products and programs within the organization.
Added 11 days ago
GD
Software Engineer
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
The LC4ISR ISTAR team is seeking a working level Software Engineer to support delivery of critical capabilities for the Canadian Army. You will be working with a multidisciplinary…
Added 11 days ago
GD
Junior Hardware Engineering Developer
General Dynamics Missions System International
Ottawa, ON
- Full-time
…every project presents new challenges to learn and grow. As a junior electrical engineer, you will be mentored by experienced electrical engineers, which will lead to you eventually taking…
Added 11 days ago
SL
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 11 days ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 11 days ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
Added 12 days ago
MC
Senior Security Engineer
MatchBox Consulting Group
Vancouver, BC
- Full-time
MatchBox Consulting Group is currently seeking a Senior Security Engineer for a permanent role at a client of ours located in Vancouver
Added 12 days ago
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Ingénieur(e) En Gestion De Données ML
Ericsson
Montreal, QC
- Full-time
Serve as a technical leader and mentor for junior engineers, fostering best practices in engineering, design, and operations.

Manulife

Senior Applied AI Engineer – GenAI & Actuarial Systems

Toronto, ON, Canada

$129,400.00 CAD - $179,400.00 CAD · Full-time

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Job details

Pay: $129,400.00 CAD - $179,400.00 CAD
Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

Original job description

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.

Position Responsibilities:
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.
Apply strong design thinking: clarify user needs, define decision points, design for adoption, and make trade-offs explicit.
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.
Make smart design trade-offs: accuracy vs explainability, robustness vs speed, and model complexity vs operational sustainability.

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.
Build GenAI capabilities such as retrieval-based solutions, structured summarization/extraction, and guided analytical workflows to accelerate insight generation.
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.

Set a high bar for evaluation and evidence

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.
Document model limitations clearly and build guardrails that ensure outputs are used appropriately.

Partner closely to productionize and operate solutions

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; define remediation actions when thresholds breach.
Contribute to runbooks and support adoption and UAT with business users.

Work in a governed environment

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.

Raise team capability

Mentor junior scientists through design reviews, code reviews, and evaluation practices.
Help standardize how we build solutions using reusable templates, checklists, and examples to improve consistency and delivery speed.

Required 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.

Preferred or Nice to have:

Experience delivering solutions in governed environments, including documentation, validation evidence, monitoring plans, UAT support, and approvals.
Experience with GenAI patterns such as retrieval-based solutions, structured outputs, tool/function calling, and agentic workflows, along with practical evaluation methods.
Familiarity with vector search and embeddings, semantic retrieval, and orchestration frameworks used to build production GenAI systems.
Experience implementing GenAI guardrails including accuracy controls, safe output formatting, data minimization, access controls, and human review workflows.
Ability to influence and mentor others through design reviews, code reviews, and evaluation practices without formal people management responsibility.

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 flexible environment where well-being and inclusion are more than just words.
As part of our global team, we’ll support you in shaping the future you want to see.

The role being advertised is an existing vacancy.

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 https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

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.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. 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. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$129,400.00 CAD - $179,400.00 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. If you are applying for this role outside of the primary location, please contact hr@manulife.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. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

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.

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More about this job

Responsibilities

Design and deliver production-ready AI and actuarial solutions, including predictive models, GenAI capabilities, and controlled agentic workflows, from business problem definition through evaluation and deployment. Partner with business and engineering teams to monitor and govern solutions, support adoption, document evidence, and mentor junior scientists.

Requirements

Requires 6–10 years of applied data science, machine learning, or advanced analytics experience, including end-to-end production delivery, strong Python and SQL, and experience with modern ML tools and distributed data platforms. Candidates should demonstrate solution architecture, rigorous evaluation and monitoring, stakeholder communication, and working knowledge of responsible GenAI and agentic patterns.

Skills

Applied Data Science
Machine Learning
Generative AI
Actuarial Systems
Python
SQL
Scikit-Learn
PyTorch
TensorFlow
Spark
Databricks
Predictive Modeling
Model Evaluation
Production ML Systems
GenAI Evaluation
Stakeholder Management

Benefits

Health Insurance
Dental Insurance
Mental Health Benefits
Vision Insurance
Short-Term Disability Insurance
Long-Term Disability Insurance
Life Insurance
Accidental Death and Dismemberment Insurance
Adoption and Surrogacy Benefits
Wellness Benefits
Employee and Family Assistance Plans
Retirement Savings Plans
Pension Plan
Global Share Ownership Plan with Employer Matching
Financial Education and Counseling
Paid Holidays
Vacation
Personal Days
Sick Days
Statutory Leaves

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Scikit-Learn
PyTorch
TensorFlow
Spark
Databricks
Machine Learning
Generative AI
Agentic Workflows
Retrieval-Augmented Generation
Vector Search
Embeddings
Semantic Retrieval
Feature Engineering
Predictive Modeling
Forecasting
Scenario Analysis
Segmentation
Anomaly Detection
Optimization
Backtesting
Out-of-Time Testing
Model Monitoring
Drift Detection
CI/CD
Model Risk Management
Data Lineage
UAT
Actuarial Analytics

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