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Added 1 min ago
EM
Power Engineer 5th Class
Edon Management
Stettler, AB
- Full-time
At Edon Management, we're looking for a 5th Class Power Engineer to join our Stettler/Bashaw operations team. This role offers the opportunity to work with a respected Alberta-based company…
Added 1 min ago
AC
Site Design Engineer
Allpro Consulting Group, Inc.
Engineer, BC
- Full-time
Position requires a Bachelor's degree in Civil or Structural Engineering or related field plus 2 years (24 months) of experience working in engineering design.
Added 1 min ago
AI
Machine Learning Engineer- AWS SageMaker
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 min ago
W
Instrumentation & Controls Engineer
Worley
Calgary, AB
- Full-time
The Instrumentation & Controls Engineer provides instrumentation and control (I&C) engineering services to Worley and its customers. The role supports the delivery of I&C engineering work…
Added 1 min ago
W
Instrumentation & Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
The Instrumentation & Controls Engineer provides instrumentation and control (I&C) engineering services to Worley and its customers. The role supports the delivery of I&C engineering work…
Added 1 min ago
W
Lead Instrumentation & Controls Engineer
Worley
Vancouver, BC
- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 1 min ago
HT
Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 1 min ago
W
Lead Instrumentation & Controls Engineer
Worley
Calgary, AB
- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 1 min ago
W
Lead Instrumentation & Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
The Lead Instrumentation & Controls Engineer provides technical leadership and project delivery oversight for instrumentation and control (I&C) engineering services in support of Worley and…
Added 1 min ago
L
Automation Engineer
LAPORTE
AB · Edmonton, AB
- Full-time
Automation Engineer, Edmonton, AB - Calgary, AB - Lethbridge, AB or Vancouver, BC
Added 1 min ago
L
Automation Engineer
LAPORTE
Lethbridge, AB
- Full-time
Automation Engineer, Lethbridge, AB - Calgary, AB - Edmonton, AB or Vancouver, BC
Added 1 min ago
W
Instrumentation & Controls Engineer
Worley
Vancouver, BC
- Full-time
The Instrumentation & Controls Engineer provides instrumentation and control (I&C) engineering services to Worley and its customers. The role supports the delivery of I&C engineering work…
Added 1 min ago
L
Automation Engineer
LAPORTE
Vancouver, BC
- Full-time
Automation Engineer, Vancouver, BC - Calgary, AB - Edmonton, AB or Lethbridge, AB
Added 1 min ago
L
Automation Engineer
LAPORTE
Calgary, AB
- Full-time
Automation Engineer, - Calgary, AB - Edmonton, AB - Lethbridge, AB or Vancouver, BC
Added 1 min ago
W
Senior Arctic Civil Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Senior Arctic Civil/Roads Engineer for transportation infrastructure in the Arctic and remote environments. The role provides technical leadership for the…
Added 1 min ago
CG
Civil Engineer
Coast Geotechnical
Victoria, BC
- Full-time
Role Description This full-time Civil Engineer role is an on-site position located in Victoria, BC. The Civil Engineer will support the planning, design, and review of civil infrastructure…
Added 1 min ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Bachelor's or Master's degree in Mechanical Engineering, Materials Science, Packaging Engineering, or a related technical field.
Added 4 mins ago
EG
Project Manager - Land Development (Toronto or Cambridge)
Egis Group
Toronto, ON
- $90,000 to $115,000 CAD / year
- Full-time
Provide construction-phase leadership, including shop drawing reviews, responses to RFIs, progress certifications, field inspections, and resolution of technical and contractual issues.
Added 4 mins ago
EG
Intermediate Civil Engineer - Major Projects (Toronto)
Egis Group
Toronto, ON
- $110,000 to $140,000 CAD / year
- Full-time
Our team is seeing an Intermediate Civil Engineer to support our Major Projects. To guarantee seamless project delivery, we provide an all-encompassing approach and a comprehensive array of…
Added 4 mins ago
EG
Project Manager, Senior Civil Engineer - Land Development
Egis Group
Ottawa, ON
- $115,000 to $140,000 CAD / year
- Full-time
Provide construction-phase leadership, including shop drawing reviews, responses to RFIs, progress certifications, field inspections, and resolution of technical and contractual issues.
Added 4 mins ago
EG
Senior Civil Engineer - Land Development
Egis Group
Markham, ON
- $130,000 to $160,000 CAD / year
- Full-time
Our team is currently seeing an experienced Land Development Senior Civil Engineer. We boast a seasoned multi-disciplinary crew ready to support your land development endeavor. To guarantee…
Added 4 mins ago
EG
Senior Civil Engineer - Major Projects (Toronto or Hamilton)
Egis Group
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
Provide construction-phase leadership, including shop drawing reviews, responses to RFIs, progress certifications, field inspections, and resolution of technical and contractual issues.
Added 4 mins ago
EG
Senior Civil Engineer - Land Development
Egis Group
Ottawa, ON
- Full-time
Provide construction-phase leadership, including shop drawing reviews, responses to RFIs, progress certifications, field inspections, and resolution of technical and contractual issues.
Added 4 mins ago
EG
OCS Lead
Egis Group
Toronto, ON
- $150,000 to $190,000 CAD / year
- Full-time
Resolve field issues associated with OCS installation, interfaces, and operational readiness.
Added 4 mins ago
Environmental Professional
City of Edmonton
AB
Are you an early career Professional Engineer or Scientist looking to make a meaningful impact on urban environmental sustainability? As an Environmental Professional with the City of…

Manulife

Associate Applied AI Engineer – GenAI Systems

Toronto, ON, Canada

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

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Job details

Pay: $69,525.00 CAD - $115,875.00 CAD
Job type: Full-time
Apply by: Oct 19, 2026
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.

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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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