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Added 3 mins ago
E
Braze Architect
EXL
Canada
- Full-time
…You will define target-state architectures that connect Braze with CDPs, reverse ETL tools, product analytics, and cloud data warehouses (Hightouch, Amperity, Amplitude, Snowflake, and…
Added 3 mins ago
GM
Senior QA with English and French Language must
Galactic Minds INC
Toronto, ON
- Contract
You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into…
Added 17 mins ago
BA
Project Manager - Higgs Audio (Toronto)
Boson AI
Toronto, ON
- Full-time
…and tell a real regression from noise. You will start as a senior individual contributor with real ownership of the Higgs Audio releases and…
Added 33 mins ago
BA
Project Manager - Higgs Audio (Toronto)
Boson AI
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
…and tell a real regression from noise. You will start as a senior individual contributor with real ownership of the Higgs Audio releases and…
Added 1 hour ago
IF
Senior DevOps
Intact FC
Montreal, QC
- Full-time
Our technology environment includes, among others: AWS (S3, Lambda, CloudWatch, VPC, AWS Backup, SageMaker, SQS, SNS), Databricks, Snowflake, Terraform, GitHub/GitHub Actions, GitLab,…
Added 2 hours ago
M
Senior Consultant, Advanced Analytics
MNP
Edmonton, AB · AB · NS · Calgary, AB · Dartmouth, NS
- Full-time
Make an impact with MNP Digital as a Senior Consultant, Advanced Analytics. You will collaborate with our Business Intelligence, Data & Analytics team to design and deliver modern cloud…
Added 2 hours ago
M
Senior Consultant, Advanced Analytics
MNP
Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
Make an impact with MNP Digital as a Senior Consultant, Advanced Analytics. You will collaborate with our Business Intelligence, Data & Analytics team to design and deliver modern cloud…
Added 3 hours ago
PF
Team Lead, Data & Analytics
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Experience working with large-scale enterprise datasets and modern cloud platforms such as Azure, AWS, or GCP, ideally within a Lakehouse architecture.
Added 3 hours ago
Developer
Insurance Corporation of British Columbia
North Vancouver, BC
…Solution. The focus is primarily on operational support working with other senior Genesys engineering specialists, business users and teams in configuration changes, incident triage and…
Added 5 hours ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
As we continue evolving this system, extending its capabilities, and preparing for expansion, we are looking for a Senior Software Engineer with strong backend experience, a talent for…
Added 6 hours ago
AS
Quality Engineer (QE) / SDET – AI Chatbot Validation
Ardent SoftSol Inc.
Brampton, ON
- $38 to $40 CAD / hour
- Contract
We are looking for a seasoned AI first Senior Quality Engineer who is empowered to help the DevOps enablement team deliver highest level quality and is responsible for ensuring the team…
Added 13 hours ago
AT
Senior DevSecOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
Strong experience with AWS and working knowledge of Azure or GCP.
Added 18 hours ago
SR
Software Architect
Swim Recruiting
Vancouver, BC
- $100 to $115 CAD / hour
- Contract
…team. In this role, you’ll design and guide the cloud-native (AWS) services that power Search, Category and Personalization pages, helping put the right product in front of the right guest…
Added 20 hours ago
OW
Oliver Wyman - Senior Lead AI Engineer
Oliver Wyman
Toronto, ON
- Full-time
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 Engineer, you…
Added 20 hours ago
VM
Sr Full Stack Engineer
Vivid Machines
Toronto, ON
- Full-time
As a Senior Full Stack Developer, you will own the software that sits between our cameras in the field and the people who rely on them: the applications our team and customers use to run…
Added 21 hours ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer (FDE) with deep Java and Python expertise to architect, build, and deploy production-grade solutions for financial technology use cases in…
Added 22 hours ago
RD
Senior DevOps Engineer (Azure Infrastructure & Platform)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are hiring a Senior DevOps Engineer to join a fast-growing, CDIC-insured, federally regulated Canadian digital bank undergoing an active technology transformation.
Added 22 hours ago
FC
Senior DevSecOps Engineer
Fintel Connect
Vancouver, BC
- Full-time
As a Senior DevSecOps Engineer, you will lead the implementation and continuous improvement of cloud security, infrastructure automation, platform reliability, and DevSecOps practices…
Added 22 hours ago
K
Software Engineer
Kelly
Mississauga, ON
- Contract
Role Overview: Senior Forward Deployed Engineer with strong Java and Python expertise to build and deploy production-grade solutions for Fintech clients in the Spread Products domain. This…
Added 22 hours ago
T
Director of Software Engineering
TEEMA
Vaughan, ON
- $230,000 to $250,000 CAD / year
- Full-time
Partner with Product Management and senior leadership to define technical strategy and priorities.
Added 22 hours ago
RB
Senior Software Quantitative Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
Experience with Python API frameworks like Django, Flask
Added 23 hours ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 23 hours ago
Technical Consultant I
Zafin
Toronto, ON
Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of…
Added 1 day ago
RI
Senior Cloud Engineer
Raas Infotek
Toronto, ON · Scarborough, ON
- Contract
Strong hands-on experience with AWS Cloud Services including:
Added 1 day ago
R
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
- Full-time
Experience with Python API frameworks like Django, Flask

Oliver Wyman

Oliver Wyman - Senior Lead AI Engineer

Toronto, ON, Canada

The applicable base salary range for this role is $195K to $250K USD. · Full-time

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Job details

Pay: The applicable base salary range for this role is $195K to $250K USD.
Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English
Posted: Oct 27, 2026

Original job description

LOCATIONS

We are hiring across our OW offices including but not limited to: New York, Boston, Chicago and DC.

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 Engineer, 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 Engineer, 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 engineering conferences and solid connections to the AI/ML engineering 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 $250K USD.

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.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

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.

R_363578

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More about this job

Responsibilities

Lead technical projects and design, build, and deploy extensible, production-quality AI/ML systems, including LLM-based agent systems. Work with clients and consulting teams to shape AI solutions, proposals, and proprietary tools while promoting strong modeling, coding, and data engineering practices.

Requirements

Requires a strong technical background in computer science, data science, AI/ML, statistics, or a related quantitative field, with a track record of deploying complex, large-scale production systems. Candidates should have expertise in agent platforms and compound AI systems, LLM design, evaluation and observability, AI risk and governance, and the mathematical foundations of AI/ML.

Skills

Artificial Intelligence
Machine Learning
AI Engineering
Large Language Models
Agentic Systems
AI/ML System Design
Production System Deployment
Retrieval-Augmented Generation
Prompt Engineering
Data Engineering
Model Evaluation
AI Observability
Python Programming
Statistical Analysis
Linear Algebra
Technical Project Leadership

Benefits

Health And Welfare Benefits
Tuition Assistance
401(k) Savings
Retirement Programs
Employee Assistance Programs
Performance-Based Incentives

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
Modeling
Data Engineering
Production Systems
AI Risk
Bias Mitigation
AI Governance
Statistics
Linear Algebra
Vector Calculus
Financial Services
Healthcare And Life Sciences
Energy

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