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Added 1 hour ago
VE
Procurement Co-op
Veolia Environnement SA
Oakville, ON
- Full-time
The Procurement Agent is responsible for sourcing, evaluating, and procuring materials, equipment, and services required for water and wastewater treatment system projects.
Added 2 hours ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
…Canadian P&C Actuarial practice by setting strategy, driving the development of new business and new services in the market, and providing technical advice across…
Added 3 hours ago
E
Principal Product Manager - Identity Threat Detection and Response
Elastic
Canada
- Full-time
…You will also own the roadmap for securing non-human and AI agent identities within Elastic Security, one of the fastest-growing and least-governed attack surfaces in the enterprise. You…
Added 5 hours ago
H
Strategy & Ops Lead at a Union Square Ventures-Backed Sports Collectibles Startup
Harper
Toronto, ON
- Full-time
The client is hiring for this role, and Harper, an AI career agent, is on your side of the table. Skip the application form: just talk to Harper, and in a few minutes it learns your…
Added 10 hours ago
D
Principal Product Manager, Sandboxes
Docker
Remote, Canada
- Full-time
- Remote
…sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will…
Added 10 hours ago
P
ERP Risk, Controls & Security Solutions Manager
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
- Full-time
Play a vital role in business development, developing relationships with staff and clients, driving end-to-end proposals and opportunities, identifying and pursuing new opportunities, as…
Added 10 hours ago
P
Manager -Financial Crime and AML
PwC
Toronto, ON · Montreal, QC
- Full-time
Contribute to business development by identifying opportunities, developing proposals and scopes, supporting pursuits, and expanding relationships with new and existing clients
Added 10 hours ago
P
Financial Reporting and Tax Compliance, Director
PwC
Toronto, ON · Vaughan, ON
- Full-time
Identify gaps in the market and spot opportunities to create value propositions
Added 10 hours ago
P
May 2027 - Deals Financial Crimes Technology Non-CPA - Summer Intern - Toronto
PwC
Toronto, ON
- Full-time
…tackling the world’s most important problems. As an Intern in our market leading Deals practice, you’ll be part of a diverse, inclusive team that values your perspective and empowers you to…
Added 11 hours ago
AC
Allstate Sales Agent Trainee -
Allstate Canada
Toronto, ON
- Full-time
Become an Allstate Sales Agent Trainee: Kickstart Your Sales Career with Unlimited Earning Potential
Added 11 hours ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are…
Added 11 hours ago
LC
Senior Director, Pharmacy Experience and Transformation
Loblaw Companies Limited
Toronto, ON
- Full-time
…taking initiatives from early-stage discovery and business case development through implementation, adoption, and…
Added 12 hours ago
A
Agent Method // Methods Agent
Actalent
Mirabel, QC
- $35 to $60 CAD / hour
- Contract
The Methods Agent plays a critical role in planning, optimizing, and supporting aerospace production activities. This person interprets and validates technical documentation, defines…
Added 12 hours ago
FN
Manager and Team Lead, Third Party Residential Underwriting - BMBE
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Stays current with latest industry knowledge, competition, and market trends
Added 15 hours ago
E
Sales & Business Development Manager - CANADA - F/M
Exail
Ottawa, ON
- Full-time
We are seeking a Sales & Business Development Manager – CANADA (ideally Ottawa or Montreal), to grow Exail’s presence across the country. This role combines technical sales, business…
Added 15 hours ago
M
Associate Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
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.
Added 15 hours ago
TS
French Customer Service Support Agent
The Sydney Call Centre
NB
- Other
We're looking for a French Customer Service Support Agent who enjoys helping people, solving problems and creating great experiences. In this role, you will be a key point of contact for…
Added 15 hours ago
TS
French Customer Service Support Agent
The Sydney Call Centre
SK
- Other
We're looking for a French Customer Service Support Agent who enjoys helping people, solving problems and creating great experiences. In this role, you will be a key point of contact for…
Added 15 hours ago
TS
French Customer Service Support Agent
The Sydney Call Centre
AB
- Other
We're looking for a French Customer Service Support Agent who enjoys helping people, solving problems and creating great experiences. In this role, you will be a key point of contact for…
Added 16 hours ago
Director of Strategic Finance
Forma.ai
Toronto, ON
…optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and…
Added 16 hours ago
F
Director of Strategic Finance
Forma.ai
Toronto, ON
- Full-time
…optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and…
Added 18 hours ago
Guest Service Agent
Northland Properties
Calgary, AB
First impressions count, right? We think so too! The Guest Service Agent is the face of our hotels. You're a people-pleaser who loves to go above and beyond to exceed the needs of our…
Added 22 hours ago
SP
Technical Architect Director - PubSec - Mulesoft Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
forward-looking roadmaps for AI-ready, agent-native data foundations
Added 2 days ago
TT
Mortgag Broker
TMG The Mortgage Group
Calgary, AB
- Contract
…referral relationships, staying current on lending guidelines and market trends, and providing clear, timely communication to clients throughout the mortgage process. The role also involves…
Added 2 days ago
M
AI Business Solutions
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Winnipeg, MB
- Full-time
…business requirements into prioritized Copilot scenarios and agent solutions, and drive deployment, active usage, adoption, and expansion across the customer's…

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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