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SENIOR BUSINESS ADVISOR, OPERATIONS - Montréal, North Shore and Laval
BDC
Montreal, QC
- Full-time
As a Senior Business Advisor, Operations, you will help small and medium-sized businesses improve their operational performance and transform their organizations. You will lead both…
Added 2 hours ago
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Lead Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
The Piping Engineering & Analysis discipline performs evaluations for piping systems in accordance with ASME Boiler and Pressure Vessel Code, ASME B31.1, ASME B31.7, and other codes as…
Added 2 hours ago
S&
Senior Piping Stress Engineer 1 - Nuclear
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
…existing generation nuclear projects, and will interface with systems engineering, structural engineering, piping design, and support design groups, for the design of piping systems and…
Added 2 hours ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We…
Added 2 hours ago
Senior Software Engineer - Mobile (React Native/iOS/Android)
BitGo
Toronto, ON
BitGo is hiring a Senior Mobile Software Engineer to build the apps our retail users use to manage and move digital assets. You will own features from design through release, with a focus…
Added 2 hours ago
Senior Software Engineer - Mobile Backend
BitGo
Toronto, ON
BitGo is looking for a Senior Software Engineer (Backend) to join our Mobile team and help us build the first-time user experience for our retail users.
Added 3 hours ago
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Project Director, Heavy Civil - Future Opportunties
Ledcor
Edmonton, AB
- Full-time
Lead senior project teams and mentor Project Managers and field leaders
Added 4 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
Added 4 hours ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Business Analyst with over 10 years of experience in business analysis, requirements gathering, business process re-engineering, business case…
Added 4 hours ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Business Analyst with over 10 years of experience in business analysis, requirements gathering, business process re-engineering, business case…
Added 4 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 4 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline, or equivalent experience.
Added 4 hours ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Business Analyst with over 10 years of experience in business analysis, requirements gathering, business process re-engineering, business case…
Added 4 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
Added 4 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 4 hours ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Degree in Business, Computer Science, Information Systems, Engineering, Data/Analytics, or a related field, or equivalent experience.
Added 4 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 4 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 4 hours ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer with strong expertise in developing, designing, implementing, and maintaining n-tier enterprise applications. The ideal…
Added 4 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 4 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline, or equivalent experience.
Added 4 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 4 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Degree in Computer Science, Information Systems, Engineering, Data/Analytics, or a related discipline, or equivalent experience.
Added 4 hours ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer with strong expertise in developing, designing, implementing, and maintaining n-tier enterprise applications. The ideal…
Added 4 hours ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer with strong expertise in developing, designing, implementing, and maintaining n-tier enterprise applications. The ideal…

Marsh Agency

Oliver Wyman - Senior Lead AI Developer

Toronto, ON, 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
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job 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

Lead technical projects and guide teams in designing, building, and deploying extensible, production-quality AI and machine learning systems, including LLM-based agent systems. Explore data, develop client-focused AI solutions, shape proposals with senior colleagues, and promote best practices in modeling, software development, and data engineering.

Requirements

Candidates should have a technical background in computer science, data science, AI, machine learning, statistics, or a related quantitative field, with a strong record of delivering complex production systems at scale. They should bring expertise in agent platforms and compound AI systems, LLM design, evaluation and observability, AI risk and governance, and the mathematical foundations of AI and data science.

Skills

Artificial Intelligence
Machine Learning
AI Agent Development
Large Language Models
Production System Deployment
Retrieval-Augmented Generation
Prompt Engineering
AI Evaluation Frameworks
AI Observability
Data Engineering
Statistical Analysis
Linear Algebra
Vector Calculus
Technical Project Management
Modeling
Client Engagement

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Large Language Models
AI Agents
Azure AI Foundry
AWS Bedrock
Retrieval-Augmented Generation
Tool Use
Agentic Memory
Multi-Agent Orchestration
Prompt Engineering
Context Management
Token Management
Structured Output
Fine-Tuning
AI Evaluation Frameworks
Observability
Data Engineering
Production Systems
Modeling
Statistics
Linear Algebra
Vector Calculus
AI Risk
AI Governance
Financial Services
Healthcare and Life Sciences
Consumer and Retail
Energy

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