1 day ago
Montréal, CanadaMid Level
Responsibilities
- Own technical products and projects with AI at their core.
- Design and deliver software systems and machine-learning models that solve commercially impactful real-world problems.
- Translate business problems and commercial opportunities into technical solutions beyond stated requirements.
- Build, test, deploy, and iterate secure solutions in live client environments alongside consulting teams, clients, and end users.
- Challenge existing systems and processes through technical excellence and innovation.
- Stay current with advances in AI and technology trends.
Requirements
- Excellent full-stack programming and system-design skills.
- Recent hands-on experience with Python and ideally one additional backend language such as C#, .NET, Java, Rust, or C++.
- Hands-on experience with at least one frontend technology such as React, TypeScript/JavaScript, or HTML/CSS.
- Experience with AI or machine-learning systems, including LLMs, prompt design, agentic workflows, evaluation harnesses, and retrieval pipelines.
- Understanding of APIs and integrations, SQL, version control, CI/CD, and security and access considerations for client environments.
- Data-engineering experience is preferred, including reliable data pipelines, databases or warehouses, and large-scale data integration.
- Demonstrated ability to own projects end to end in ambiguous settings.
- Strong communication skills with technical and non-technical clients and colleagues.
- Undergraduate degree in computer science, mathematics, engineering, or a related field.
- Entrepreneurial, proactive, curious, collaborative, and strong problem-solving approach.
Benefits
- Hybrid work arrangement requiring at least three days per week in the Montréal office or onsite with clients.
- Opportunity to work on varied AI and technology projects with consulting teams, clients, and industry experts.
- Autonomy, ownership, learning opportunities, and the ability to create demonstrable business value.
- Employment is contingent on authorization to work and maintain legal work status in Canada and the United States.
Tech Stack
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.