Senior Software Engineer, Applied AI and Customer Solutions

About the role

You'll join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Coursera's enterprise and campus customers. You'll operate across the full engagement lifecycle: scoping customer environments and pain points like a consultant, prototyping working demos in real time, and hardening validated solutions into production-grade, secure deployments.

What you'll do

• Scope customer environments directly with executive sponsors and IT/data owners to map systems, data models, and workflows
• Rapidly prototype and demo working solutions in front of customers, iterating in real time to validate business value
• Serve as the bridge between customer and core engineering teams to harden validated prototypes into production deployments
• Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures that meet data residency, privacy, and IT-maturity requirements
• Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering, PrivateLink

What you need

• 5–9 yrs of experience
• Python
• Java
• TypeScript
• Docker
• Kubernetes
• Kafka
• Any graduate

Good to have

• AWS
• IAM
• Prototyping
• CI/CD