Senior Software Engineer, Applied AI & Customer Solutions

📋 Description

• Scope customer environments directly with executive sponsors and IT/data owners — mapping systems
• Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove
• Serve as the bridge between customer & core engineering team to harden validated prototypes
• Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per
• Build and own identity and access management, encryption, and secure cross-network connectivity
• Bring security, data-residency and compliance judgment into discovery conversations before a

🎯 Requirements

• 5+ years of experience in a software engineering role, with strong hands-on backend engineering and
• 1+ years of experience building production-grade agentic AI solutions
• Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker
• Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant
• Strong experience with data engineering fundamentals — ingesting, cleaning, and normalizing messy
• Working knowledge of identity and access management, encryption/key management, and secure network

🎁 Benefits

• Work on high-visibility engineering problems with direct, measurable impact on enterprise and
• Work directly with strategic customers across geographies, owning engagements end-to-end rather
• Directly influence what graduates from customer-facing custom solutions into Coursera's core product
• Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management)
• Be part of a mission-driven company transforming global access to education and upskilling in the