Senior AI Solutions Engineer: Customer Deployments

Cousera Internal Rehire Job Board; Toronto; On-site; CAD 137,000 - 172,000; Full time

Job summary

Coursera is seeking a Senior Software Engineer for Applied AI & Customer Solutions in Toronto, Canada. The role involves building AI-powered enterprise solutions, working across AI/Data Engineering, cloud, and security architectures, and delivering production-grade deployments directly with Coursera's customers.

You will travel regularly to customer sites for discovery, prototyping, and go-live phases, collaborating with product, AI specialists, data analysts, and engineers.

Qualifications

• 5+ years of experience in a software engineering role with cloud infra experience.
• 1+ years building production-grade AI solutions.
• Proficiency in backend languages and cloud technologies.
• Strong communication and leadership abilities.
• Willingness to travel regularly to customer sites.

Responsibilities

• Scope customer environments with executive sponsors and IT/data owners.
• Prototype and demo working solutions in real time with customers.
• Bridge between customer and core engineering to productionize prototypes.
• Design multi-tenant, hybrid deployment architectures per data residency requirements.
• Own identity management, encryption, and secure connectivity for deployments.
• Bring security and data-residency considerations into discovery conversations.
• Own CI/CD, observability, and production support for customer environments.
• Identify repeatable patterns and inform Product on standardization.

Skills

Backend engineering

AI solutions

Data engineering

Leadership

Travel readiness

Communication

Security posture

Tools

Python

Java

Typescript

Docker

Kubernetes

Kafka

AWS

IAM

Job description

Coursera is seeking a Senior Software Engineer for Applied AI & Customer Solutions in Toronto, Canada. The role involves building AI-powered enterprise solutions, working across AI/Data Engineering, cloud, and security architectures, and delivering production-grade deployments directly with Coursera's customers.

You will travel regularly to customer sites for discovery, prototyping, and go-live phases, collaborating with product, AI specialists, data analysts, and engineers.