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Added 12 mins ago
P
Platform Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You'll contribute to platform engineering initiatives that improve the infrastructure, deployment workflows, and operational tooling used by Plusgrade engineering teams. You'll build,…
Added 12 mins ago
SD
Data Integration Architect
Symbiotic Digital
ON · Central Toronto (Summerhill West / Rathnelly / South Hill / Forest Hill SE / Deer Park), Ontario
- Contract
for designing and implementing data architecture solutions, developing logical
Added 12 mins ago
A
Summer Student - CRU Project Support
AltaLink
Calgary, AB
- Other
…on improving data quality and developing practical digital solutions that increase efficiency, visibility, and…
Added 12 mins ago
Programming Manager
BOS Innovations
London, ON
Support Applications Engineering with technical feasibility, programming solutions, and labor estimates during project development and quoting.
Added 12 mins ago
RA
Senior Business Analyst (Global Treasury Systems)
Recrute Action
Toronto, ON
- Contract
…requirements and specifications, data transformation, process re-engineering, automation, configurations, functional and integration testing, training, implementation, and end-user…
Added 12 mins ago
Industry Advisor - Public Safety
Softchoice
Ottawa, ON
…advantage of Softchoice’s comprehensive portfolio of products and solutions, this role will empower and support sales and engineering teams to achieve sustainable growth by providing…
Added 12 mins ago
E
Planning & Scheduling Coordinator
EllisDon
Edmonton, AB
- Full-time
…to deliver great careers to one another and develop creative solutions for complex problems on some of the most exciting projects. It doesn’t matter what your expertise and craft is – there…
Added 12 mins ago
Executive Assistant
Government of Alberta
AB
We are seeking a highly organized and proactive Executive Assistant to support the Chief Operating Officer (COO) and Planning, Grants and Engineering Services division.
Added 12 mins ago
PA
Solutions Consultant 2
Palo Alto Networks
Toronto, ON · ON
- Full-time
The Solutions Consultant is the evolution of the traditional Sales Engineering role, aligning how we best serve our customers in understanding their environment, providing solution guidance…
Added 12 mins ago
LG
Sr Project Manager
Lark Group
Surrey, BC
- Full-time
Surfacing issues early and proposing practical solutions - not just reporting problems
Added 27 mins ago
GT
Technology Delivery Manager
Greater Toronto Airports Authority
Toronto, ON
- Full-time
…responsible for leading the end‑to‑end technical delivery of digital solutions that enable seamless airport operations and exceptional passenger experiences. This role drives the design,…
Added 27 mins ago
NA
Estimating Co-op Student
North American Construction Group Inc.
Acheson, AB
- Other
The Engineering Co-op Program within North American Construction Group (NACG) Estimating Department offers students meaningful exposure to the pre-construction phase of major heavy civil…
Added 27 mins ago
Software Development Engineer, Region Flexibility Engineering
Amazon
Vancouver, BC
As a software development engineer on the Automated Augmentation team, you will design and build solutions to accelerate company-wide initiatives in the region expansion, observability,…
Added 27 mins ago
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Manager, Software Engineering - 12 Month Temporary
Aviso
Vancouver, BC
- $145,000 to $160,000 CAD / year
- Full-time
Collaborate in the planning, coordination, execution, and delivery of complex cross-team engineering initiatives identifying risk and suggesting solutions to optimize
Added 27 mins ago
M
Senior Product Designer
Mission.dev
ON · Ontario, Canada
- $180,000 to $250,000 USD / year
- Full-time
Collaborate daily with founders and engineering teams to ensure design integrity throughout the release cycle.
Added 27 mins ago
OC
Manager, Engineering and Projects
Orano Canada
Saskatoon, SK
- $162,000 to $190,650 CAD / year
- Full-time
Collaborate with cross-functional stakeholders to deliver practical, operable, and sustainable engineering solutions
Added 27 mins ago
TC
SENIOR IT/OT SOLUTIONS ARCHITECT
TMC Canada
Montreal, QC
- Full-time
…environnement industriel, nous recherchons un Architecte de solutions IT/OT senior pour réaliser la cartographie des systèmes existants et définir une architecture cible cohérente, intégrée…
Added 27 mins ago
GT
DevOps Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $80 to $90 CAD / hour
- Contract
…funded activity. The contractor will be responsible for DevOps engineering across Azure DevOps and GitHub Enterprise, including leadership of ADO to GHE migration initiatives. The role…
Added 27 mins ago
K
Senior Piping Designer
Kent
Calgary, AB
- Full-time
Kent is looking for a Senior Piping Designer to join our Engineering team in Calgary. The successful candidate will provide senior-level piping design expertise and produce safe, accurate,…
Added 27 mins ago
CE
Network Engineer
Capgemini Engineering
Toronto, ON
- Full-time
…implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will work closely with customers and the Network engineering teams to…
Added 27 mins ago
TT
Data and AI Lead, Development and Governance
Tundra Technical Solutions
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
AI agents, prompt engineering, document intelligence, workflow automation, large language models, RAG and knowledge solutions
Added 41 mins ago
Senior Plant Process Engineer
ERCO Worldwide
Saskatoon, SK
…relationships and delivering innovative, sustainable chemical solutions that improve lives and the health of our planet. Grounded in our commitment to sustainability, we serve multiple…
Added 41 mins ago
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Software Developer / Développement logiciel
Vention
Montreal, QC
- Full-time
Design, develop, and integrate robotic and automation systems for real client applications, owning your solutions end to end.
Added 41 mins ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Build, coach, and retain a high-performing, diverse team spanning data engineering, and AI engineering; manage hiring, performance, and career development.
Added 41 mins ago
T
Manager, Engineering - TD Data Platform
TD
Toronto, ON
- Full-time
You will combine strong data engineering expertise with people leadership, partnering across Technology and the business to deliver scalable, reliable solutions aligned with enterprise…

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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