Senior Lead AI Developer

About the role

Oliver Wyman Quotient partners with clients on their toughest AI challenges, blending AI technology with deep industry expertise. As a Senior Lead AI Developer, you manage technical projects and help teams design and build AI/ML systems and pipelines that are extensible and production quality. You work alongside partners in Quotient and other practice groups, engaging directly with clients to understand their business challenges.

Key responsibilities

• Explore data and craft AI solutions to answer core business problems
• Work with Partners and Principals to shape proposals that leverage AI and engineering capabilities
• Build and deploy LLM-based agent systems in production
• Keep up with the state of the art and emerging modelling and data engineering methodologies
• Advocate best practices in modelling, code hygiene and data engineering
• Lead the development of proprietary AI/ML solutions, algorithms or analytical tools and infrastructure

Required profile

• Background in computer science, data science, machine learning, AI, statistics or another quantitative/computational field
• Track record of designing and deploying large-scale technical solutions, including complex production systems
• Comfort in time-boxed, high-consequence project environments
• Solid theoretical grounding in the mathematics of AI/ML (statistics, linear algebra, vector calculus)
• Experience presenting at AI/ML developer conferences and connections to the community are highly valued

Required skills

• Modern programming languages for AI and agents, end-to-end lifecycle
• Agentic platforms such as Azure Foundry, AWS Bedrock and Gemini Enterprise Agent Platform
• Compound AI systems: RAG, tool use, agentic memory, multi-agent orchestration
• Evaluation frameworks and observability tooling for AI systems
• LLM system design: prompt engineering, context and token management, structured output, fine-tuning tradeoffs, cost and latency optimization
• Awareness of AI risk, bias and governance

The applicable base salary range is $195K to $285K CAD, depending on experience, skills, location, certifications and education; performance-based incentives may also apply. Hybrid work is offered, with at least three days per week in the office or onsite with clients.