Senior Software Engineer, AI Solutions for Enterprise

Candidate; Toronto; On-site; CAD 137,000 - 172,000; Full time

Job summary

Coursera + Udemy is seeking a Senior Software Engineer to join a fast-paced AI-enabled solutions team. You will work across AI, data engineering, cloud, and security architecture to prototype, map customer workflows, and productionize secure deployments for enterprise and campus customers.

The role involves hands-on development, regular travel to customer sites (domestic and international), and close collaboration with Product Managers, AI Specialists, Data Analysts, and other engineers to

Qualifications

• 5+ years in software engineering with backend and cloud infra.
• 1+ years building production-grade agentic AI solutions.
• Proficiency in Python, Java, Typescript; Docker, Kubernetes, Kafka.
• Cloud design experience, preferably AWS, with multi-tenant deployments.
• Strong data engineering skills handling varied data sources.
• IAM, encryption, and secure networking experience.
• Comfort working with customers and willingness to travel.
• Ability to lead projects and troubleshoot with minimal supervision.

Responsibilities

• Scope customer environments with executive sponsors and IT/data owners.
• Rapidly prototype and demo working solutions in real time for customers.
• Bridge between customer and core engineering for production deployments.
• Design multi-tenant, hybrid deployment architectures per data residency needs.
• Own CI/CD, observability, and production support in customer environments.
• Collaborate with Product Managers, AI Specialists, and Program Managers.
• Travel to customer sites as needed for scoping, prototyping, and go-live.

Skills

Backend engineering

Agentic AI

Python/Java/Typescript

Docker/Kubernetes/Kafka

AWS cloud

Data engineering

IAM & encryption

Customer-facing

Tools

Postgres

DuckDB

pgvector

Job description

Coursera + Udemy is seeking a Senior Software Engineer to join a fast-paced AI-enabled solutions team. You will work across AI, data engineering, cloud, and security architecture to prototype, map customer workflows, and productionize secure deployments for enterprise and campus customers.

The role involves hands-on development, regular travel to customer sites (domestic and international), and close collaboration with Product Managers, AI Specialists, Data Analysts, and other engineers to