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Were a globally distributed team that comes together intentionally for collaboration complex problem-solving and key milestones creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If youre ready to make a global impact help scale unique products across Coursera Udemy and grow your career apply below.

Job Overview

Youll join a fast-paced innovation team that builds and deploys AI-powered solutions directly with Courseras enterprise and campus customers. Youll 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. Youll 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.

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.

What youll 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.

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.

Coursera is an Equal Prospect Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at

Required Experience:

Senior IC

📌 Senior Software Engineer, Applied AI and Customer Solutions (Mumbai)
🏢 Cousera Internal Rehire
📍 Mumbai