Top Tech Jobs & Startup Jobs in Montreal

Lead end-to-end AI solutions as a forward-deployed engineer: scope, design, and deploy ML/LLM systems; partner with clients and stakeholders; build infrastructure, data pipelines, and reusable platform components; mentor engineers; own projects from discovery through production and provide on-call support.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

Lead and grow an applied AI training research practice that delivers measurable client outcomes. Oversee benchmarking, data strategy, RL environment development, and cross-functional pods to ensure research outputs are deployable, scalable, and commercially impactful. Support pre-sales, scope engagements, and act as executive sponsor on strategic accounts to drive retention and revenue.

The Enterprise Solutions Manager drives operational excellence and client success through strategic analysis, process optimization, and project management, collaborating with various teams to deliver AI solutions.

Manage relationships with strategic healthcare clients, oversee complex projects, innovate operational processes, and lead large teams to improve AI training and application.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.

The Enterprise Solutions Specialist drives client success through project management and operational oversight, ensuring scalable processes and effective communication between teams. This role involves direct client engagement and supports automation initiatives.