Hybrid AI Lead & Production ML Architect

Oliver Wyman

Toronto

Hybrid

CAD 195,000 - 285,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Job summary

Oliver Wyman Quotient is seeking a Senior Lead AI Developer to manage technical AI projects and architect end-to-end AI/ML pipelines. You will design and deploy AI/ML systems, work with partners and clients to craft solutions, and lead production-grade AI tooling across industries.

You will collaborate with Quotient specialists, apply best practices in modelling, data engineering and code hygiene, and drive scalable, responsible AI initiatives within a dynamic consulting environment.

Qualifications

  • Background in computer science, data science, ML or AI.
  • Experience designing and deploying large-scale AI/ML systems.
  • Strong programming skills for AI/agent development.
  • Familiarity with agent platforms and AI tooling.
  • Experience with evaluation frameworks and observability for AI systems.

Responsibilities

  • Exploring data and crafting AI solutions for business problems.
  • Shaping proposals with Partners to leverage AI capabilities.
  • Building and deploying LLM-based agent systems in production.
  • Staying current with modelling and data engineering methods.
  • Leading development of proprietary AI/ML solutions and tooling.

Skills

AI/ML systems
Python
LLM deployment
Cloud platforms
Data engineering
Agentic platforms
MLOps
Prototyping

Education

Degree in CS/Math/Data Science

Tools

Azure Foundry
AWS Bedrock
Gemini Enterprise

Job description

Oliver Wyman Quotient is seeking a Senior Lead AI Developer to manage technical AI projects and architect end-to-end AI/ML pipelines. You will design and deploy AI/ML systems, work with partners and clients to craft solutions, and lead production-grade AI tooling across industries.

You will collaborate with Quotient specialists, apply best practices in modelling, data engineering and code hygiene, and drive scalable, responsible AI initiatives within a dynamic consulting environment.

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