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Added 11 mins ago
RD
Business Analyst (Mortgage)
Randstad Digital
Toronto, ON
- Contract
You will work closely with Mortgage Product Owners, Underwriters, Risk & Credit Officers, Loan Operations, and Engineering squads to modernize lending platforms, automate operational…
Added 11 mins ago
S
Lead Infrastructure Software Developer
Scrawlr
Vancouver, BC
- Full-time
…oversight. This role combines deep technical execution with system-level thinking and team influence. The ideal candidate will be a proactive problem-solver, a systems thinker, and a…
Added 11 mins ago
RI
Varicent Developer (IBM Cognos)
RP Inc.
Toronto, ON
- Contract
…and performance analytics. The role involves troubleshooting system issues, optimizing existing Varicent workflows, performing data validation and testing, and ensuring accurate and timely…
Added 11 mins ago
BI
Pega Lead System Architect
BURGEON IT SERVICES
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Pega Lead System Architect is responsible for the end-to-end architecture, technical design, development governance, and successful implementation of enterprise applications built on…
Added 11 mins ago
OO
Director
Office of the Superintendent of Financial Institutions Canada
Toronto, ON
- Full-time
Due to weekly system maintenance, Workday will be unavailable for 3 hours every Friday from 11pm to Saturday 2am EST.
Added 11 mins ago
System Control Centre Trainer
Elexicon Energy Inc.
Ajax, ON
Reporting to the SCC Supervisor, the Trainer will own curriculum design and delivery for the SCC System Operator Apprentice training program, acting as the primary point of contact for…
Added 11 mins ago
System Control Centre - Dispatcher (2 Openings)
Elexicon Energy Inc.
Ajax, ON
The System Control Centre Dispatcher plays a critical front-line role in ensuring the safe, reliable, and timely delivery of electrical service to customers. The position operates in a 24/7…
Added 25 mins ago
LS
FP&A Analyst Customer Success Manager
Limelight Software
Toronto, ON
- Full-time
Manage a portfolio of customers and build relationships with CFOs, finance leaders, system administrators, and budget owners.
Added 1 hour ago
IA
Writer
IMP Aerospace & Defence
Halifax, NS
- Full-time
Research engineering drawings, technical specifications, equipment catalogues and other source data as required.
Added 1 hour ago
MA
Software Engineer
Milya AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…responsibilities include implementing new features, optimizing system performance, writing clean and testable code, and collaborating with product, AI, and design teams to deliver reliable,…
Added 2 hours ago
Senior Android Infrastructure Software Developer
Google
Waterloo, ON
…including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and…
Added 3 hours ago
MM
Oliver Wyman - Senior Lead AI Developer
Marsh McLennan
Toronto, ON · Montreal, QC
- Full-time
Proficiency in LLM system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost/latency optimization
Added 4 hours ago
OI
Functional IT Analyst/BA
Orion Innovation (formerly Sryas)
Montréal-Ouest, QC
- Full-time
Discover the proprietary platforms we built to help organizations accelerate outcomes.
Added 4 hours ago
MI
Sr. Specialist Enterprise Solution Architect (m|w|x)
Magna International
Aurora, ON
- Full-time
…applications, data, integration, infrastructure, and cloud platforms, with future readiness in…
Added 5 hours ago
A
Senior AI and Agentic Developer
Accenture
Toronto, ON
- Full-time
…integrate and customize LLMs with enterprise systems, APIs and data platforms so clients can move from prototypes to measurable business…
Added 6 hours ago
J
Content Strategist - 12 Month Contract
Jobgether
Canada
- $57,000 to $80,000 CAD / year
- Contract
…of digital learning solutions. Working closely with product, engineering, UX, and international teams, you will ensure content remains accurate, consistent, and aligned with user needs. You…
Added 6 hours ago
A
Forward Deployed AI Engineer - Senior Manager
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and…
Added 7 hours ago
T
Data Center Technician
TEKsystems
Pointe-Claire, QC
- $20 to $25 CAD / hour
- Contract
…infrastructure behind one of the world's most advanced cloud platforms. In this hands-on role, you will be responsible for diagnosing, repairing, and maintaining server hardware that powers…
Added 7 hours ago
AA
Flight Control System Certification Specialist / Spécialiste de Certification des Systèmes de Commandes de Vol
Airbus Aircraft
Montreal, QC
- Full-time
Vous avez une connaissance des approches de ‘Model Based Design (MBD)’ et ‘Model Based System Engineering (MBSE)’ et leurs applications aux systèmes de comma
Added 7 hours ago
SE
Sr Solution Sales Representative - Smart Buildings
Schneider Electric
Dollard-Des Ormeaux, QC
- $129,600 to $172,800 CAD / year
- Full-time
…you will engage building owners, developers, consultants, and engineering firms early in the project lifecycle. You will help influence design decisions, technical requirements, and…
Added 8 hours ago
A
Professionnel Intégration Systèmes Cybersécurité / Cybersecurity Systems Integration Professional
Airbus
Mirabel, QC · Montreal, QC
- Full-time
…Systèmes Cybersécurité pour rejoindre notre équipe Cockpits & Platforms basée à Mirabel (Québec, Canada), où vous travaillerez en étroite collaboration avec les équipes d'ingénierie…
Added 9 hours ago
K
Manager, Technology Strategy & Digital Transformation
KPMG
Vancouver, BC
- Full-time
…strategy, IT operating model, technology assessment, roadmap, system selection and AI strategy engagements, while contributing to business development and practice…
Added 9 hours ago
SA
Electrical Engineer
Smarter Alloys
Cambridge, ON
- Full-time
…technical autonomy while collaborating with our multidisciplinary engineering…
Added 10 hours ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Waterloo, ON
- Full-time
…optimizing business-critical applications running on IBM i (AS/400)…
Added 10 hours ago
O
Sr. Cloud Applications Developer (AS/400)
OpenText
Richmond Hill, ON
- Full-time
…optimizing business-critical applications running on IBM i (AS/400)…

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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