2 months ago
Toronto, CanadaStaff+
Responsibilities
- Manage technical projects and help teams design and build extensible, production-quality AI/ML systems and pipelines.
- Explore data and craft AI solutions addressing core business problems.
- Work with Partners and Principals to shape proposals using AI and engineering capabilities.
- Build and deploy LLM-based agent systems in production.
- Develop familiarity with emerging modeling and data engineering methodologies and advocate best practices in modeling, code hygiene, and data engineering.
- Lead development of proprietary AI/ML solutions, algorithms, analytical tools, and infrastructure.
- Engage directly with clients to understand business challenges and collaborate with specialists and consultants on solutions.
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative or computational science.
- Track record of designing and deploying large-scale technical solutions that deliver ongoing value.
- Direct experience building and deploying robust, complex production systems implementing modern AI at scale.
- Ability to make consequential design decisions rapidly in large, time-boxed projects.
- Fluency in modern programming languages for AI and agents across the end-to-end AI development lifecycle.
- Knowledge of one or more agentic platforms, including Azure Foundry, AWS Bedrock, or Gemini Enterprise Agent Platform.
- Deep familiarity with compound AI systems, including retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration.
- Experience designing and operating evaluation frameworks and observability tooling for AI system quality, failure detection, and production performance.
- Proficiency in LLM system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost and latency optimization.
- Practical awareness of AI risk, bias, and governance in high-stakes or regulated environments.
- Applied understanding of modeling or analytical techniques and mathematical foundations including statistics, linear algebra, and vector calculus.
- Experience presenting at high-impact AI/ML developer conferences and connections to the AI/ML developer community are valued.
- Interest or background in financial services, healthcare and life sciences, consumer, retail, energy, or transportation industries.
- Open-source contributions or compelling side projects are valued but not required.
Benefits
- Base salary range of $195K to $285K CAD, plus potential performance-based incentives.
- Hybrid work with remote flexibility; colleagues are expected to work in their local office or onsite with clients at least three days per week.
- Office-based teams identify at least one weekly anchor day for in-person collaboration.
- Roles are available across Oliver Wyman offices, including Toronto and Montreal.
- Equal employment and reasonable accommodation support are provided.
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.