This is a customer-facing technical leadership role focused on designing cloud infrastructure and MLOps solutions for AI and machine learning teams.

You will act as a trusted technical advisor, helping customers transform complex requirements into scalable, high-performance cloud architectures.

The role combines hands-on architecture, infrastructure as code, GPU computing, Kubernetes, and Python development with strategic customer engagement.

You’ll lead proofs of concept, workshops, technical presentations, and training sessions while helping customers optimize their AI pipelines.

Working remotely from Canada, you’ll collaborate closely with customers and internal product, support, marketing, and engineering teams.

You’ll also contribute technical expertise to industry events, hackathons, conferences, webinars, and other community initiatives.

This is an opportunity to work on impactful AI infrastructure projects within a fast-moving, international environment where ownership and innovation are highly valued.

Accountabilities

• Act as a trusted technical advisor to customers, providing architecture guidance and expertise throughout engagements involving cloud infrastructure and MLOps.
• Conduct proofs of concept, workshops, presentations, and training sessions focused on GPU cloud technologies, AI/ML infrastructure, and industry best practices.
• Work directly with customers to understand business and technical requirements and translate them into scalable, effective solution architectures.
• Design and document Infrastructure-as-Code solutions, technical architectures, implementation guides, and how-to documentation in collaboration with support engineers and technical writers.
• Help customers optimize AI/ML pipelines for performance, scalability, reliability, and efficient utilization of cloud resources.
• Serve as the primary technical expert for customer use cases, communicating insights and requirements to product, technical support, and marketing teams.
• Contribute technical expertise to marketing and community initiatives, including hackathons, conferences, workshops, webinars, and industry events.
• Stay current with developments in cloud infrastructure, GPU computing, MLOps, and AI technologies to continuously improve customer solutions.