Teams at Coursera + Udemy

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Build applied AI systems and prototypes using LLMs, RAG pipelines, vector databases, agentic workflows, structured extraction, and custom models. Design evaluation frameworks, measure accuracy and grounding, analyze errors, and iterate on solutions. Work with large structured and unstructured datasets using Python, SQL, and cloud data platforms. Partner with product, data, engineering, and business teams to translate ambiguous problems into measurable AI solutions and document architectures, prompts, runbooks, and results.

Own and build Coursera’s India channel program across universities, government bodies, and public sector enterprises. Recruit and activate partners, develop enablement and compliance frameworks, establish co-sell programs, negotiate agreements, track performance, and conduct partner business reviews. Collaborate with sales, marketing, implementation, and solution consulting teams to generate and close enterprise opportunities, while evaluating new partnerships and leading executive-level partner discussions.