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About the Role

As a Senior Lead AI Developer, you will manage technical projects and help teams design and build AI/ML systems and pipelines that are extensible and production-ready. You will act as an expert in selected domains, contrasting methods and selecting appropriate approaches based on the data or modeling problem. You will collaborate with Oliver Wyman partners and clients to understand business challenges and craft solutions.

Responsibilities

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

Requirements

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 that deliver tangible, ongoing value
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 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
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
Interest/background in Financial Services, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries

Skills

AI/ML systems
AI/ML pipelines
LLM-based agent systems
Data engineering
Modern programming languages for artificial intelligence / agents
Agentic platforms
Compound AI systems
Retrieval-augmented generation
Tool use
Agentic memory
Multi-agent orchestration
Evaluation frameworks
Observability tooling
LLM system design
Prompt engineering
Context and token management
Structured output
Fine-tuning tradeoffs
Cost/latency optimization
AI risk
AI bias
AI governance
Statistics
Linear Algebra
Vector Calculus

Location

Toronto
Montreal

Work Type

Hybrid

Experience Level

Senior Lead

Education Level

Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science

Salary/Compensations

$195K to $285K CAD

Benefits

Performance-based incentives
Flexibility of working remotely
Collaboration, connections and professional development benefits of working together in the office

About the Company

Oliver Wyman is a global leader in management consulting with offices in over 70 cities across 30 countries. The firm combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. Oliver Wyman is a business of Marsh McLennan.
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.

Equal Opportunity

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