Senior Software Engineer, Applied AI and Customer Solutions

India

About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

What you'll be doing

• 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, API gateways) for customer-embedded deployments.
• Integrate security, data-residency, and compliance considerations into discovery conversations before commercial commitments are made.
• Own CI/CD, observability, and production support for systems deployed inside customer environments.
• Identify repeatable patterns across customer engagements and feed field evidence back to Product to inform standardization, broader deployment, or retirement decisions.
• Collaborate with Product Managers, AI Specialists, and Program Managers to scope problem statements with focus on customer and business impact.
• Travel to customer sites as needed to support scoping, prototyping, and go-live phases, including in-person workshops and executive readouts.

About your skills

• Software Engineering - Core competency for designing, developing, and maintaining production-grade systems deployed in customer environments.
• AI Fluency - Essential for building and deploying agentic AI solutions and understanding AI capabilities for customer problem-solving.
• Customer/Stakeholder Focus - Essential for understanding customer needs, scoping ambiguous problems, and maintaining focus on business impact throughout engagements.

Qualifications

• 5+ years of experience in a software engineering role with hands-on backend engineering and cloud infrastructure work.
• 1+ years of experience building production-grade agentic AI solutions.
• Experience with backend languages such as Python, Java, or Typescript and technologies such as Docker, Kubernetes, and Kafka, with demonstrated ability to work across the full stack.
• Background in cloud platforms (AWS preferred) and ability to design and operate multi-tenant and hybrid customer-cloud deployment models.
• Experience with data engineering fundamentals including ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems.
• Working knowledge of identity and access management, encryption and key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments.
• Demonstrated history of operating directly with customers to scope ambiguous problems, conduct discovery, and demo work-in-progress solutions both in person and remotely.
• Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, based on engagement needs.
• Prior experience leading projects and troubleshooting complex issues with minimal supervision.
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Why join us now?

• AI is transforming how people learn, work, and grow, and the need for new skills has never been greater.
• Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts.
• By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

• By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy.
• Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview

• 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.
• This role sits at the intersection of AI and data engineering, cloud and security architecture, and customer-facing solutioning.
• You'll work hands-on with customers to map workflows and data, while collaborating closely with Product Managers, AI Specialists, and Engineers to decide what gets standardized and deployed broadly.
• Regular travel to customer sites (domestic and occasionally international) is required for discovery, prototyping, and go-live phases.