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Added 5 mins ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based…
Added 50 mins ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Use validated methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
Added 1 hour ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
Our Data team is the backbone of Nesto Cloud, managing the flow of data that powers Canada’s most advanced mortgage platform. As a Senior Data Reliability Developer, you won't just be…
Added 1 hour ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI Engineer (NVIDIA + LLM Inference).
Added 1 hour ago
T
Senior Solutions Engineer / Architect
Thri5
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Design integrations with customer systems: data, workforce, task management, and store operations platforms
Added 1 hour ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Proficiency in data modeling, scripting (Python, PowerShell, or Bash), and API integration.
Added 2 hours ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
The successful candidate will design, build and maintain data migration, integration and pipeline solutions, with a focus on Snowflake, AWS and modern data engineering practices.
Added 2 hours ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 2 hours ago
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Sr. Mechanical Designer
Actalent
Cambridge, ON
- $45 to $65 CAD / hour
- Contract
Collaborate closely with controls, electrical, process, manufacturing, and project teams to ensure complete system integration.
Added 2 hours ago
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AI Engineer, Data, AI and Analytics
WestJet
Calgary, AB
- Temporary
Partner with Data Science, Data Engineering, and Analytics teams to incorporate AI capabilities into business-facing solutions where appropriate.
Added 3 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the…
Added 3 hours ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Build and maintain an automated, event-driven data flow inventory and data mapping pipeline, tied to system/vendor intake and procurement processes rather than periodic manual surveys.
Added 3 hours ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Analytics & Growth Stack Integration: Maintain seamless data flow between front-end web properties and backend marketing solutions (Google Tag Manager, HubSpot, Salesforce, etc.), ensuring…
Added 3 hours ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
Learn new technologies and tools related to Gen AI, ML/AI, data integration and warehousing
Added 4 hours ago
Q
Staff SoC Design Engineer
quadric
Remote, Canada
- Full-time
- Remote
Quadric is building a revolutionary new processor-based SoC architecture. As a Staff SoC Design Engineer, you will get in on the ground floor as a key member of our chip design team,…
Added 4 hours ago
AI Engineer, Data, AI and Analytics
WestJet Group
Calgary, AB
Partner with Data Science, Data Engineering, and Analytics teams to incorporate AI capabilities into business-facing solutions where appropriate.
Added 4 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 4 hours ago
AI
AI Evaluator/ Quality Engineer
Avanciers Inc.
Toronto, ON
- $100,000 to $110,000 CAD / year
- Full-time
Avanciers is a premier IT Staffing/Consulting organization and we are currently recruiting for a contract role for one of our premier client in Canada for AI Evaluator/ Quality Engineer.
Added 4 hours ago
A
Senior SDET
Air-tek
Toronto, ON
- Full-time
We’re looking for a Senior Software Development Engineer in Test (SDET) to build and improve the infrastructure that makes reliable, scalable testing possible.
Added 4 hours ago
M
Business Systems Analyst
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Assess upstream, downstream, integration, and system impacts to help ensure solutions address business requirements, technical dependencies, and delivery risks.
Added 4 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Engineer features from structured and unstructured data and help ensure solutions remain robust as data evolves.
Added 4 hours ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 5 hours ago
1
Marketing Technology Lead Developer
1-800-GOT-JUNK?
Vancouver, BC · Toronto, ON
- Full-time
Analytics & Growth Stack Integration: Maintain seamless data flow between front-end web properties and backend marketing solutions (Google Tag Manager, HubSpot, Salesforce, etc.), ensuring…
Added 6 hours ago
H
Senior Prototype Engineer
Humanoid
Burnaby, BC
- Full-time
We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic…
Added 6 hours ago
HS
Senior Java Software Engineer
Henry Schein One Canada
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.

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 29, 2026
Posting language: English
Posted: Oct 26, 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 support Finance, Treasury, and Actuarial business workflows. 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 with 0–3 years of experience in applied data science or machine learning. Strong proficiency in Python, SQL, and modern ML tooling is required, along with a demonstrated ability to translate business problems into structured technical designs.

Skills

Python
SQL
Machine learning
GenAI
RAG
PyTorch
TensorFlow
Spark
Databricks
Software engineering
Git
Data modeling
NLP
Cloud computing
CI/CD
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
Applied AI
Python
SQL
RAG
NLP
Data Engineering
ML Engineering
CI/CD
Git
PyTorch
TensorFlow
Spark
Databricks
Forecasting
Anomaly Detection
Optimization
Scenario Analysis
Model Governance
Software Engineering
Data Lineage
UAT
API
Automation
Advanced Analytics
Finance
Actuarial
Quantitative Analysis
Production-ready

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