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Coursera · 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 . 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. About the Role Coursera’s AI adoption has moved fast — engineering teams code AI-first, dozens of internal tools have shipped, and functions across the business are building their own AI agents and automations. The next phase requires something different: a shared technical foundation that lets many teams build safely and cost-effectively at scale, instead of each team solving governance, security, and cost from scratch. This role owns that foundation. The Senior Agentic AI Architect Lead designs and builds the core architecture that Coursera’s AI Builders and business pods will run on — so that a small team (a Business Product Owner, a Process Expert, an IT Product Owner, and an AI Engineer) can redesign a workflow and ship an AI-native solution in weeks, not months. This is a hands-on architecture role, not a pure strategy role: you will be building, not just advising. What You’ll Own Context & Semantic Architecture - Design how AI agents access and understand Coursera’s internal data and knowledge, so agents retrieve the right information rather than guessing or over-fetching. Establish reusable patterns for RAG, semantic search, structured data access, and enterprise context, partnering with the Data team on existing data models and pipelines. Agentic Architecture & Harness Engineering - Design reusable patterns for agent orchestration, tool use, mul