Jobs in Canada

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Added 1 month ago
VA
Aircraft Certification Authority (ACA) - (M Rotational)
Voyageur Aviation
Trenton, ON
- Full-time
Troubleshooting more complex system defects (fuel system, flight controls, hydraulic systems, etc.), aircraft defects and carry out corrective action as required.
Added 1 month ago
VA
Aircraft Certification Authority (ACA) - (M Rotational)
Voyageur Aviation
Toronto, ON
- Full-time
Troubleshooting more complex system defects (fuel system, flight controls, hydraulic systems, etc.), aircraft defects and carry out corrective action as required.
Added 1 month ago
VA
Aircraft Certification Authority (ACA) - (M Rotational)
Voyageur Aviation
Kingston, ON
- Full-time
Troubleshooting more complex system defects (fuel system, flight controls, hydraulic systems, etc.), aircraft defects and carry out corrective action as required.
Added 1 month ago
H
Senior Test & Validation Engineer
Humanoid
Burnaby, BC
- Full-time
As a Senior Test and Validation Engineer at Humanoid, you will be responsible for bringing new hardware subsystems into a functional, controllable, measurable, and integration-ready state,…
Added 1 month ago
RB
Lead Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer, you will be a senior individual contributor and…
Added 1 month ago
Senior Software Engineer, Security Engineering - Platform (Auth0)
Okta
Toronto, ON
We are looking for a Senior Software Engineer that will join the Auth0 Security Engineering organization. In this role, you will join a team of Software Engineers dedicated to building and…
Added 1 month ago
C
Security Engineer, Logging Platform
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days
Added 1 month ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Translate business problems into a clear solution approach, including user workflow, data flow, model approach, evaluation plan, and operational controls.
Added 1 month ago
IF
Senior Data Developer
Intact FC
Montreal, QC
- Full-time
We are looking for a Senior Data Developer (Engineer) to help establish the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. The…
Added 1 month ago
RW
Project Engineer
Resolute Workforce Solutions
ON · Richmond Hill, Ontario
- Full-time
We are looking for a highly motivated and energetic professional to join our team as a Project Engineer. This role will oversee project execution and provide engineering and CQV support for…
Added 1 month ago
S
Measurement Specialist
SECURE
Calgary, AB
- Other
This role combines technical analysis, systems and data management, field support, and cross-functional collaboration. While much of the work involves reviewing data, documentation,…
Added 1 month ago
T
AVP, Analytics, Insights and AI, AI Product
TD
Toronto, ON
- Full-time
Practical fluency in predictive AI, GenAI and agentic systems, including LLMs, RAG, evaluation, orchestration/tool use, human oversight, model/data lifecycle and observability.
Added 1 month ago
C
Lead Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…robust, highly available, and scalable enterprise application systems. This role combines hands-on engineering in modern Java ecosystems (Java 17+, Spring Boot, Kafka, Cloud Native) with…
Added 1 month ago
SM
Instrumentation & Controls Engineer/Technologist (Intermediate)
Solaris Management Consultants Inc
Surrey, BC · Calgary, AB
- $85,000 to $140,000 CAD / year
- Full-time
As an Instrumentation & Controls Engineer, you will play a key role in the design, implementation, and commissioning of instrumentation and control systems for gas plants, compressor…
Added 1 month ago
SM
Electrical Engineering - Project Lead (Surrey, BC & Calgary, AB)
Solaris Management Consultants Inc
Surrey, BC · Calgary, AB
- $130,000 to $170,000 CAD / year
- Full-time
…front-end planning, construction-led designs, and data-driven controls. With more than 31 years of experience and a portfolio of 5,000+ projects, our in-house multidisciplinary teams help…
Added 1 month ago
SM
Instrumentation & Controls Engineer - Project Lead
Solaris Management Consultants Inc
Surrey, BC
- $130,000 to $170,000 CAD / year
- Full-time
As an Instrumentation and Controls Engineer – Project Lead, you will play a key role in leading the design, implementation, and commissioning of instrumentation and controls systems for a…
Added 1 month ago
XI
Analytics Engineer, Network Intelligence
Xplore Inc.
Canada
- Full-time
As an Analytics Engineer for Network Intelligence on Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve…
Added 1 month ago
LC
Electrical Engineer/ Senior Electrical Technologist
Level Consulting Engineers Ltd.
Foothills No 31, AB · Foothills, AB
- Full-time
…protection, lighting, power, communications, fire alarm, and key…
Added 1 month ago
R
Lead Data Engineer
RBC
Toronto, ON
- Full-time
…Foundation Hub to ingest enterprise data and power analytics and controls using a medallion architecture. As a Lead Data Platform Engineer, you will be a senior individual contributor and…
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
We are seeking a highly skilled Software Engineer to design, develop, and support enterprise applications and data platforms. The role requires strong hands-on expertise in software…
Added 1 month ago
H
Senior Network Engineer
Hays
Toronto, ON
- Contract
We are seeking a skilled Senior Network Engineer to design, implement, and manage secure and scalable network infrastructure across on-premises and cloud environments. The ideal candidate…
Added 1 month ago
SG
Forward Deployed Engineer
Sperton Global AS
Canada
- Full-time
You’re shipping real systems into live operations and owning whether they actually improve the business.
Added 1 month ago
A
Mechanical Engineer, Data Centers
AECOM
Thornhill, ON
- $90,000 to $145,000 CAD / year
- Full-time
AECOM is seeking a Mechanical Engineer to join our growing Canadian Data Center practice. This role will support the design and delivery of hyperscale, colocation, and other…
Added 1 month ago
CF
Building Operator II (Office)
Cadillac Fairview
AB · Calgary, AB
- Full-time
4th Class Power Engineer License required;
Added 1 month ago
KG
Subsea Project Engineer
Kintec Global Recruitment
Ottawa, ON
- Contract
Manage technical interfaces between intervention equipment, subsea trees, wellheads, ROVs, vessels, controls systems and other project equipment.

Manulife

Associate Applied AI Engineer – GenAI Systems

Toronto, ON, Canada

$69,525.00 CAD - $115,875.00 CAD · Full-time

Apply on manulife.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $69,525.00 CAD - $115,875.00 CAD
Job type: Full-time
Posting language: English
Posted: Oct 5, 2026

Original job description

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 Associate Applied AI Engineers who bring strong technical depth, sound software engineering practices, and a modern GenAI design mindset to help deliver AI and GenAI capabilities that integrate effectively into real business workflows. This is an excellent opportunity for candidates with graduate-level training in AI/ML or related quantitative disciplines, as well as those in early-career applied AI roles, who want to work on meaningful business problems rather than research prototypes or notebook-based analysis alone. If you enjoy taking ambiguous business challenges and translating them into structured solution designs, measurable experiments, and production-ready outcomes, this role is for you.

Position Responsibilities:

1. Contribute to end-to-end solution design (GenAI + ML)

Translate business problems into a clear solution approach, including user workflow, data flow, model approach, evaluation plan, and operational controls.

Create lightweight, high-quality design artifacts such as system context, runtime sequence, agent/tool maps, data lineage, and decision logs that support implementation and governance.

Participate in design discussions and make thoughtful trade-offs across accuracy, explainability, cost, latency, and maintainability.

2. Build models and GenAI components for Finance & Actuarial use cases

Develop ML solutions such as forecasting, classification, NLP, anomaly detection, optimization, and scenario analysis.

Build GenAI capabilities such as retrieval-based solutions (RAG), structured summarization and extraction, transaction understanding, variance explanation, and tool-using workflows where appropriate.

Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.

3. Apply strong evaluation and testing practices

Implement performance evaluation using holdouts, backtesting, error analysis, and fit-for-purpose metrics aligned to the business problem.

For GenAI, help design practical evaluation approaches such as scenario coverage, edge cases, human review rubrics, quality scoring, and regression testing.

Document model limitations clearly and support guardrails that improve the reliability and safe use of outputs.

4. Partner closely to productionize and operate solutions

Collaborate with Data Engineering, ML Engineering, and Software teams to productionize solutions through reliable data pipelines, model packaging, CI/CD, deployment, and monitoring.

Write maintainable, tested code using strong software engineering practices such as version control, modular design, logging, and code review.

Support monitoring for data quality, drift, performance deterioration, and operational failures, and help investigate issues when thresholds are breached.

Contribute to runbooks and support adoption and UAT with business users.

5. Work in a governed environment

Contribute to the documentation and evidence required for model risk review, including assumptions, validation results, monitoring plans, UAT evidence, and approvals.

Ensure privacy and security expectations are met through data minimization, appropriate access controls, and safe handling of sensitive information.

Follow established standards for reproducibility, traceability, model documentation, and auditability.

6. Grow team capability and delivery maturity

Learn quickly from design reviews, code reviews, and stakeholder feedback, and apply those lessons to future work.

Contribute reusable components, templates, examples, and testing patterns that make team delivery faster and more consistent.

Stay current with emerging AI and GenAI engineering patterns and bring forward practical ideas that improve how the team builds solutions.

Required Qualifications:

Master’s or PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
0–3 years of experience in applied data science / machine learning, including internships, co-ops, research, or early-career industry experience; strong academic project work may also be considered.
Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, debugging, and basic performance tuning.
Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar, including data preparation, feature engineering, and model development.
Demonstrated ability to turn a problem into a structured technical approach, including clear thinking around inputs, outputs, assumptions, failure modes, and evaluation.
Exposure to building or evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, LLM-based classification, tool/function calling, or multi-step workflows.
Strong evaluation mindset across ML and GenAI, including metric selection, holdout testing, error analysis, scenario coverage, edge-case thinking, and basic regression testing approaches.
Understanding of production-oriented development, including packaging code, working with APIs or services, handling configuration, monitoring outputs, and designing for maintainability.
Strong communication skills, with the ability to explain technical outputs, limitations, and design choices in plain language.

Preferred Qualifications:

Master’s or PhD in Computer Science, Statistics, Machine Learning, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
0–3 years of experience in applied data science / machine learning, including internships, co-ops, research, or early-career industry experience; strong academic project work may also be considered.
Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, debugging, and basic performance tuning.
Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar, including data preparation, feature engineering, and model development.
Demonstrated ability to turn a problem into a structured technical approach, including clear thinking around inputs, outputs, assumptions, failure modes, and evaluation.
Exposure to building or evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, LLM-based classification, tool/function calling, or multi-step workflows.
Strong evaluation mindset across ML and GenAI, including metric selection, holdout testing, error analysis, scenario coverage, edge-case thinking, and basic regression testing approaches.
Understanding of production-oriented development, including packaging code, working with APIs or services, handling configuration, monitoring outputs, and designing for maintainability.
Strong communication skills, with the ability to explain technical outputs, limitations, and design choices in plain language.

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

$69,525.00 CAD - $115,875.00 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.

Apply on manulife.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The role involves designing and building end-to-end GenAI and machine learning solutions to address complex business problems in Finance and Actuarial teams. Engineers will collaborate with cross-functional teams to productionize models while ensuring robust governance, evaluation, and operational reliability.

Requirements

Candidates must hold a Master’s or PhD in a quantitative field such as Computer Science, Statistics, or Machine Learning. The position requires 0–3 years of applied experience, strong proficiency in Python and SQL, and hands-on experience with modern ML tooling and GenAI frameworks.

Skills

Python
SQL
Machine Learning
GenAI
PyTorch
TensorFlow
Spark
Databricks
RAG
NLP
Software engineering
Git
CI/CD
Data engineering
Model evaluation
Statistical analysis

Benefits

Health insurance
Dental insurance
Mental health support
Vision insurance
Short-term disability
Long-term disability
Life insurance
AD&D insurance
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans
Pension
Global share ownership plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

GenAI
Machine Learning
Python
SQL
PyTorch
TensorFlow
Spark
Databricks
RAG
NLP
Data Engineering
CI/CD
Git
Model Risk Management
Governance
Predictive Modeling
Anomaly Detection
Optimization
Scenario Analysis
Feature Engineering
Unit Testing
Integration Testing
API
Cloud Computing
Quantitative Analysis
Finance
Actuarial Science
Data Lineage
Model Deployment
Monitoring

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Work requirements

Jobs in Canada