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Added 10 mins ago
AWS Solution Architect
Capgemini
Toronto, ON
…collaborates with enterprise architects platform teams and engineering teams to establish cloud architecture standards migration patterns and best…
Added 10 mins ago
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Manager - Software Development
MDA
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- Full-time
We are seeking a Manager, Software Engineering, to lead and develop a software engineering team in Brampton, supporting advanced space and robotics programs. This role combines people…
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Manager, AML Model Testing
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- Full-time
…background and update context. Communicate with the development team to understand the testing…
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- Full-time
Lead the delivery of best-practice risk management services and report to the Director of Risk Management and project leadership team.
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- Full-time
The Quality Area Team Leader is responsible for leading and coordinating Quality Control activities throughout our facility to ensure compliance with customer, regulatory, engineering and…
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Generative AI Engineer
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Human Resources Manager
Lumentis
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- Full-time
…to series production. Lumentis combines expertise in optical engineering, electronics, and software to create innovative LED, adaptive, and dynamic lighting technologies. Joining Lumentis…
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Senior Data Developer
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Canada
- Full-time
You have a bachelor’s or master’s degree in Computer Science, Software Engineering or a related field, along with at least eight years of data or software engineering experience, including…
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Senior Software Developer
Air Trail
AB · Edmonton, AB
- Full-time
We’re looking for a talented and experienced Senior Software Developer to join this mission. This person will be a core member of our small team, and work directly with all aspects of our…
Added 25 mins ago
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Software Engineer II
TD
Toronto, ON · Montreal, QC
- Full-time
The TD Insurance Digital Platform is looking for a Software Engineer to join the MyInsurance development team. As a Software Engineer, the candidate will be a key contributor to…
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Toronto, ON
ACV Auctions is looking for a Software Engineer to join our ACV Retail - Viper Teams and work on our SaaS Product. The position will focus on backend development & maintenance of Go Lang…
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Director Product Line Management Optical Engines
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Senior IT Systems Engineer
arcadia
Toronto, ON
- $150,000 to $185,000 CAD / year
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Lead Systems Design Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
…passion for platform/system firmware. As part of the role, the lead will work closely with other firmware engineers, developers, architects and customer engineering teams in leading the…
Added 25 mins ago
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Director, Product Management, Global Asset Management
CIBC
Toronto, ON
- Full-time
…across complex portfolios. As a Senior Product Manager, you'll lead the product development, management, and delivery of our in-house Enterprise Risk Management Multi-Asset Portfolio Risk…
Added 25 mins ago
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AI/ML Architect – Principal
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Architect and deliver enterprise-scale AI/ML solutions including data pipelines, feature engineering, model development, deployment, monitoring, and lifecycle management.
Added 25 mins ago
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Sales Operations Analyst
Nexus Energy Inc.
Toronto, ON
- $60,000 to $80,000 CAD / year
- Full-time
Proficiency with CRM software and other sales tools for lead management, tracking, and reporting.
Added 25 mins ago
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Software Automation Engineer
Miipe Quality Solutions
Markham, ON
- $60,000 to $65,000 CAD / year
- Full-time
Miipe is a Canadian-owned consulting firm, founded in 2008, that’s redefining the world of Quality Engineering through innovation, collaboration, and technology. We specialize in end-to-end…
Added 25 mins ago
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Civil Construction Project Manager
MCL Group Ltd.
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MCL Group Ltd. is seeking a highly motivated and experienced Civil Earthworks Project Manager to join our team. This position would carry project management expertise to support and lead a…
Added 40 mins ago
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Principal MCP/AI Developer
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- Full-time
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Added 55 mins ago
Senior Estimator, Pacific Link (Contract)
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Marsh McLennan

Oliver Wyman - Senior Lead AI Developer

Toronto, ON, Canada
Montreal, QC, Canada

The applicable base salary range for this role is $195K to $285K CAD. · Full-time

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Job details

Pay: The applicable base salary range for this role is $195K to $285K CAD.
Job type: Full-time
Posting language: English
Posted: Sep 2, 2026

Original job description

Company:

Oliver Wyman

Description:

LOCATIONS

We are hiring across our OW offices including but not limited to: Toronto and Montreal.

Practice Overview

At Oliver Wyman Quotient we partner with clients to deliver breakthrough outcomes for their toughest AI challenges.

We blend the power of AI technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed AI transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results.

____

The Role And Responsibilities

No two OW Quotient projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and pipelines that consistently drive solutions to be extensible and production quality. You are an expert in selected domains and can contrast methods and select appropriate approaches based on the data or modelling problem at hand. As an AI Developer, you will work alongside Oliver Wyman partners in Quotient and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Quotient specialists and consultants.

Your responsibilities will include, for example:

Exploring data and crafting AI solutions to answer core business problems
Working with Partners and Principals to shape proposals that leverage our AI and engineering capabilities
Building and deploying LLM-based agent systems in production
Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies
Advocating application of best practices in modelling, code hygiene and data engineering
Leading the development of proprietary AI/ML solutions, algorithms, or analytical tools and infrastructure on projects and asset development

____

Your Experience & Qualifications

You are a well-rounded technologist who brings a wealth of real-world experience and:

Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including:
- Direct experience having built and deployed robust, complex production systems that implement modern artificial intelligence at scale
- Comfort in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly
Demonstrated fluency in modern programming languages for artificial intelligence / agents, covering the end-to-end AI development lifecycle:
- Knowledge of one or more agentic platforms , including but not limited to: Azure Foundry, AWS Bedrock, Gemini Enterprise Agent Platform
- Deep familiarity with the architecture, performance characteristics, and limitations of compound AI systems, including retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration
- Experience designing and operating evaluation frameworks and observability tooling to measure AI system quality, detect failure modes, and maintain performance in production
- Proficiency in LLM system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost/latency optimization
- A history of compelling side projects or contributions to the Open-Source community is valued but not required
Practical awareness of AI risk, bias, and governance, including how to identify and mitigate failure modes in high-stakes or regulated environments
Solid theoretical grounding in the mathematical core of the major ideas in AI/ML:
- Applied understanding of a class of modelling or analytical techniques
- Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus
- Experience presenting at high-impact AI/ML developer conferences and solid connections to the AI/ML developer community (e.g., via meetups, open-source contributions, continuing relationships with academics, etc.) is highly valued
Interest/background in Financial Services, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities.

Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.

For more information, visit www.oliverwyman.com.

Follow Oliver Wyman on Twitter @OliverWyman.

Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.

The applicable base salary range for this role is $195K to $285K CAD.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case-by-case basis.

In addition to the base salary, this position may be eligible for performance-based incentives.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting

reasonableaccommodations@mmc.com.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

#OWCapabilities

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. 

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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More about this job

Responsibilities

You will manage technical projects and lead teams in designing and building extensible, production-quality AI/ML systems and pipelines. Additionally, you will engage directly with clients to understand business challenges and craft AI solutions that leverage engineering capabilities.

Requirements

Candidates must have a strong technical background in computer science, data science, or a related quantitative field with a proven track record of deploying large-scale AI solutions. Proficiency in modern AI programming languages, LLM system design, and experience with agentic platforms are essential for this role.

Skills

Artificial Intelligence
Machine Learning
LLM System Design
Data Engineering
Agentic Platforms
Retrieval-Augmented Generation
Python
Statistics
Linear Algebra
Vector Calculus
Prompt Engineering
Model Evaluation
Observability Tooling
Technical Project Management
Cloud Infrastructure

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
LLM
Agentic Platforms
Azure Foundry
AWS Bedrock
Retrieval-Augmented Generation
Data Engineering
Prompt Engineering
Fine-tuning
Observability
Statistics
Linear Algebra
Vector Calculus
Management Consulting
Financial Services
Healthcare
Life Sciences
Consumer
Retail
Energy
Transportation
Algorithm Development
Production Systems
Technical Leadership
Software Engineering
Data Science
Model Governance
Risk Management

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