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Added 3 mins ago
Sr. Staff AI Full Stack Engineer
Synopsys
Canada Off-Site, Canada Off-Site Office
You are a passionate engineer who thrives in fast-paced, innovative environments. You have a deep understanding of software engineering principles and a strong command of Python, with the…
Added 3 mins ago
St Staff R&D Engineer
Synopsys
Waterloo, ON
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
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Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
The EA SPORTS™ FC Gameplay Advanced Team makes meaningful innovations in team strategy, AI, player animation, and player interactions that create exciting back of the box features for the…
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Staff Silicon Validation Software Engineer - 17309
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Mississauga, ON
…collaborative problem-solving. Working closely with analog and systems designers, applications engineers, and customers, you’ll play a pivotal role in shaping the next generation of…
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Gameplay Engineer (Apex Legends)
Electronic Arts
Vancouver, BC
We are looking for an experienced Gameplay Engineer to help build and support high-quality player-facing gameplay features for a live-service multiplayer game. This role will partner…
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Gameplay Software Engineer - EA SPORTS™ FC
Electronic Arts
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Our workflow and supporting tools are advanced and allow us to work and iterate quickly, which in turn allows us to see our code changes directly in the game without much delay. Fixing…
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Gameplay Data Science Engineer (Apex Legends)
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As a Gameplay & Data Science Engineer, you will drive the Research & Development of advanced bot behaviors and AI frameworks to enhance the Apex Legends experience. You will work at the…
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DevOps Engineer - EA SPORTS™ TECHNOLOGY
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Reporting to a Software Engineering Manager, as an Advanced DevOps & Automation Engineer, you will be responsible for designing, implementing, and maintaining scalable systems and tools…
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Advanced Online Software Engineer – EA SPORTS FC
Electronic Arts
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The Online Software Engineer will help build networked game experiences for EA Sports titles. We are looking for engineers who enjoy prototyping, planning, implementing, and maintaining…
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Advanced Game Software Engineer
Electronic Arts
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Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with…
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Experience with TypeScript, including modern patterns such as React hooks, functional components, and advanced type systems
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Senior C++ Generalist Software Engineer - Advanced Technology Group
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Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with…
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Oversee support and administrative actions related to the installation and maintenance of production systems, while also engineering solutions that require minimal support
Added 17 mins ago
Senior Embedded Software Designer
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Toronto, ON
Full-time
…real-time, continuous space communications while supporting advanced on-orbit compute and hosted payload…
Added 17 mins ago
Application Engineering Team Lead – HVAC & Chiller Systems
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…applications, and support customer and sales discussions when advanced technical expertise is…
Added 18 mins ago
Senior Systems / Cloud Engineer
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Saint-Paul, NB · St.-Paul, NB
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The Minnesota Attorney General’s Office (AGO) is seeking a highly skilled Senior Systems / Cloud Engineer to join our IT Division. In this senior level role, you will provide advanced…
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AI/ML Systems Engineer
Actalent
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$50 to $67 CAD / hour
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Systems Engineer, AI-Powered Diagnostics & Observability
Added 19 mins ago
Quality Assurance Engineer
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Full-time
We serve OEM customers in the rail, material handling, mining, defense, heavy truck, agriculture, power systems, construction, nuclear, engineered products, architectural, and forestry…
Added 29 mins ago
Fpga Engineer
Actalent
Ottawa, ON · Kanata, ON
$50 to $70 CAD / hour
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…next-generation 4G and 5G Radio Units, where you'll contribute to advanced FPGA solutions that power modern telecommunications networks. This is an excellent opportunity to work on complex…
Added 31 mins ago
Network Engineer
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Saskatoon, SK
Full-time
We're seeking a Network Engineer to join a growing team of infrastructure specialists focused on enterprise networking, wireless technologies, industrial IoT environments, and core network…
Added 31 mins ago
Field Geologist
University of Alaska Fairbanks Petroleum Engineering
Field, BC
Full-time
The Field Engineer/Geologist will be responsible for the geological logging and documentation of rock core and subsurface materials obtained during cutoff wall construction projects.…
Added 32 mins ago
Analytics Engineer
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Full-time
…excelled at tailoring integrated, data driven solutions, fueled by advanced systems and technology, that fulfill complex and challenging distribution needs. Managing 22.5 million square…
Added 1 hour ago
Refrigeration Engineer
Flowtec Group
Brantford, ON
Full-time
A leading manufacturer of commercial and industrial refrigeration systems is seeking a CO₂ Refrigeration Engineering Specialist to support the development and optimization of advanced…
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Senior Controls Designer
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…documentation of sophisticated building automation and control systems for large-scale mission-critical facilities, including hyperscale and enterprise data centres across Canada and North…

Manulife

Applied AI Engineer – GenAI Systems

Toronto, ON, Canada

Pay: $94,430.00 CAD - $144,430.00 CAD
Job type: Full-time
Apply by: Oct 15, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

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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 Applied AI Engineers with strong modeling skills, solution development experience, and a product outlook. They will build AI and GenAI capabilities that integrate into real business workflows. These solutions must be reliable for engineers to implement, easy for collaborators to understand and use, and clear for governance teams to review with evidence, testing, and controls. If you enjoy turning ambiguous business problems into clear system designs, strong evaluations, and reliable production outcomes, this role is for you!

Position Responsibilities:
Own end-to-end solution design (GenAI + ML)

Translate business problems into a clear solution approach: user workflow, data flow, model approach, evaluation plan, and operational controls.
Create lightweight, high-quality design artifacts (e.g., system context, runtime sequence, agent/tool map, data lineage, decision log) that make build and governance straightforward.
Make smart design trade-offs: accuracy vs explainability, cost vs performance, speed vs robustness.

Build strong models and GenAI components for Finance & Actuarial use cases

Develop ML solutions such as forecasting, classification, NLP, optimization, anomaly detection, and scenario analysis.
Build GenAI capabilities such as retrieval-based solutions (RAG), structured summarization, transaction understanding, variance explanations, and tool-using workflows (where applicable).
Engineer features from structured + unstructured data and ensure solutions remain stable as data evolves.

Set a high bar for evaluation and evidence

Define performance expectations with collaborators and implement backtesting / out-of-time testing and error analysis.
For GenAI, design practical evaluation: scenario coverage, edge cases, human review rubrics, quality scoring, and regression testing.
Document model limitations clearly and build guardrails for safe use.

Partner closely to productionize and operate solutions

Collaborate with Data Engineering, ML Engineering, and Software teams to productionize: data pipelines, model packaging, CI/CD, deployment, and monitoring.
Implement monitoring for data quality, drift, performance deterioration, and operational failures; define remediation actions when thresholds breach.
Contribute to runbooks and support adoption and UAT with business users.

Work in a governed environment

Produce the documentation and evidence required for model risk review (assumptions, validation results, monitoring plan, UAT evidence, and approvals).
Ensure privacy/security expectations are met through data minimization, appropriate access controls, and safe handling of sensitive information.

Raise team capability

Mentor junior scientists through design reviews, code reviews, and evaluation practices.
Help standardize “how we build” (templates, checklists, examples) so delivery becomes faster and more consistent.

Required Qualifications:

4–7 years of experience in applied data science / machine learning, with demonstrated end-to-end delivery into production (beyond notebooks), including support for UAT and post-launch iteration.
Strong Python + SQL, with solid software engineering practices: Git-based workflows, code reviews, unit/integration testing, logging, readable code structure, and basic performance tuning.
Hands-on experience with modern DS/ML tooling (e.g., scikit-learn, PyTorch/TensorFlow, Spark/Databricks or similar), including feature engineering and model development at scale.
Demonstrated ability to build and communicate solution architecture. Create clear diagrams and concise specs that include data flow, runtime flow, interfaces, failure modes, and operational controls. Align collaborators on trade-offs and scope.
Experience building and evaluating GenAI solutions, including at least one of: RAG, structured summarization/extraction, classification with LLMs, tool/function calling, or agentic workflows (multi-step orchestration with tools/data stores).
Strong evaluation skills across ML and GenAI: backtesting/holdouts, metric selection, error analysis, and quality evaluation frameworks for GenAI (scenario coverage, edge cases, human review rubrics, regression tests).
Understanding of production readiness: monitoring for data quality and drift, performance deterioration, cost/latency considerations for GenAI, and practical remediation approaches.
Strong communication and collaborator management: ability to explain outputs, limitations, uncertainty, and build decisions in plain language and drive adoption in business workflows.

Preferred / Nice to have:

Hands-on GenAI experience across multiple patterns: RAG, prompt orchestration, structured outputs, tool/function calling, agentic workflows (multi-step reasoning with tools), and practical evaluation approaches.
Experience designing GenAI systems beyond the model: retrieval design, grounding strategies, prompt/version management, caching, and cost/latency trade-offs.
Experience with cloud-based data/ML stacks and production patterns: model registry, CI/CD, monitoring, APIs/microservices, and automation for retraining or refresh cycles.
Familiarity with modern GenAI engineering components such as vector databases, embedding strategies, semantic search, and orchestration frameworks (e.g., Semantic Kernel / LangChain-style frameworks).
Experience working in Finance, Treasury, Insurance, IFRS-17, or Actuarial environments and/or within model governance practices (documentation, validation evidence, monitoring plans).
Experience implementing GenAI guardrails: hallucination/accuracy controls, safe output formatting, data minimization, access controls, and human review workflows.
Strong solution design influence: ability to mentor peers through design reviews, code reviews, and evaluation practices (without formal people leadership).

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

$94,430.00 CAD - $144,430.00 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 Applied AI Engineer will design and implement end-to-end GenAI and machine learning solutions to transform business workflows in Finance, Treasury, and Actuarial teams. They will also define evaluation frameworks, ensure model governance, and collaborate with cross-functional teams to productionize and monitor these systems.

Requirements

Candidates must have 4–7 years of experience in applied data science or machine learning with a proven track record of production-level delivery. Strong proficiency in Python, SQL, and modern ML/GenAI frameworks is required, along with the ability to communicate complex technical designs to business stakeholders.

Skills

Python
SQL
Machine learning
GenAI
RAG
Data engineering
Model development
Feature engineering
System design
CI/CD
Cloud computing
Model governance
Statistical modeling
NLP
Optimization
Anomaly detection

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
Financial education and counseling
Paid time off
Holidays
Vacation
Personal days
Sick days

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
GenAI
Machine Learning
Python
SQL
RAG
Data Science
Model Governance
CI/CD
Spark
Databricks
PyTorch
TensorFlow
Scikit-learn
NLP
Forecasting
Classification
Optimization
Anomaly Detection
Scenario Analysis
Vector Databases
LangChain
Semantic Kernel
Model Risk Review
UAT
Productionization
Data Pipelines
Monitoring
Finance
Actuarial

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