Oliver Wyman - Senior Lead AI Developer
Marsh & McLennan Companies5 days ago
Toronto, Canada or Montréal, CanadaStaff+
Responsibilities
- Explore data and craft AI solutions addressing core business problems.
- Collaborate with Partners and Principals to shape proposals using AI and engineering capabilities.
- Build and deploy LLM-based agent systems in production.
- Stay current with AI modeling and data engineering methodologies.
- Advocate for 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 and collaborate with consultants and other technical specialists.
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational science field.
- A compelling track record designing and deploying large-scale technical solutions with tangible, ongoing value.
- Direct experience building and deploying robust, complex production systems implementing modern AI at scale.
- Ability to make and act on 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 and production performance.
- Proficiency in LLM system design, prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost and latency optimization.
- Practical awareness of AI risk, bias, governance, and failure-mode mitigation in high-stakes or regulated environments.
- Solid theoretical grounding in AI/ML mathematics and applied understanding of modeling or analytical techniques.
- Fluency in statistics, linear algebra, and vector calculus.
- Experience presenting at high-impact AI/ML developer conferences and connections to the AI/ML developer community is highly valued.
- Open-source contributions or compelling side projects are valued but not required.
- Interest or background in financial services, healthcare and life sciences, consumer, retail, energy, or transportation industries.
Benefits
- Base salary range of $195K to $285K CAD, plus possible performance-based incentives.
- Hybrid work with remote flexibility and at least three days per week in a local office or onsite with clients.
- Flexible and inclusive work environment with reasonable accommodation available.
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