---
title: 'Enterprise Agentic AI Architect at Coursera'
canonical: 'https://feeny.ai/job/enterprise-agentic-ai-architect-coursera-india-q6qwa8y5apat'
type: 'job'
last_seen: '2026-10-14'
---

# Enterprise Agentic AI Architect at Coursera

- **Company:** Coursera
- **Location:** India
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-14
- **Apply:** https://job-boards.greenhouse.io/coursera/jobs/6223129004

## Job description

## 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](https://blog.coursera.org/coursera-and-udemy-are-now-one-company-creating-the-worlds-most-comprehensive-skills-platform/).

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, multi-step workflows, state management, and human-in-the-loop decisions. Build the engineering harness around agents, including testing, evaluation, guardrails, retries, observability, and failure recovery, so agentic solutions are reliable and production-ready.
- Governance Architecture - Build technical guardrails that enforce—not just document—who can build what, what data and systems an agent can access, and what gets logged for audit and review. Establish standards for agent ownership, lifecycle management, and production readiness.
- Security Architecture - Design defenses specific to agentic AI, including agent identity and access control, least-privilege permissions, prompt injection, data leakage, secure credentials, and safe tool execution. Coordinate with Security to extend existing enterprise security standards.
- Self-Serve AI Development (“Vibe Coding”) with CI/CD Automation - Extend and mature Coursera’s self-serve deployment path so AI-assisted, conversational development ships through automated testing, security checks, and evaluation gates—safe by default, not safe by manual gatekeeping.
- LLM Cost & Performance Optimization - Design caching, model routing (matching task complexity to the right-sized model), token and context optimization, and usage monitoring so AI adoption can scale without costs growing linearly. Establish cost, latency, quality, and usage metrics.
- Agent Operating Model & Adoption - Define agent ownership, lifecycle management, production-readiness standards, adoption metrics, and reusable patterns so business teams can scale AI capabilities consistently across functions. Measure success through usage, workflow outcomes, productivity, quality, and business value.
- Architecture Strategy & Execution - Turn ambiguous business problems into scalable technical direction, practical roadmaps, architecture decisions, and production delivery.
- Enterprise Systems & Integration Architecture - Design AI solutions that understand dependencies across enterprise systems, business processes, integrations, and downstream impacts. Establish reusable patterns for APIs, enterprise tools, and Model Context Protocol (MCP) or comparable integration standards where appropriate.
- Production Readiness & Operational Excellence - Establish standards for reliability, observability, incident response, security, operational ownership, and continuous improvement across AI platforms and solutions.

How This Role Works With Others

This role sits at the intersection of four groups and requires strong cross-functional partnership—it does not operate in isolation.

- Engineering Leadership: Partner directly with Engineering leadership to align architecture decisions and share resources and infrastructure where possible, avoiding duplicate build efforts across the company.
- IT: IT owns broader company-wide tooling and platform decisions (procurement, provisioning, cost governance, enterprise policy). Coordinate closely with IT so agentic architecture decisions align with company-wide technical direction rather than creating a parallel, ungoverned stack.
- Data Team: The Data team owns Coursera’s underlying data strategy. Partner with them to ensure context and semantic architecture aligns with existing data models, pipelines, and ownership rather than building a parallel, disconnected data layer for AI.
- Security Team: Design security architecture specific to agentic AI—including access control, prompt injection defense, and credential handling—in coordination with the Security team, which owns broader security standards and policy.
- Business Pods: Enable the 3–4 person pods (Business Product Owner, Process Expert, IT Product Owner, AI Engineer) to redesign workflows, build AI-native solutions, and drive measurable business outcomes using reusable architecture.
- Change Management & Enablement: Help teams adopt AI-enabled workflows through enablement, feedback loops, process redesign, and continuous improvement.

People Leadership

Build, coach, and develop the architecture and engineering capability required to scale the platform. This includes hiring, delegation, technical leadership development, performance management, and creating clear ownership across teams.

Build strong technical leaders who can independently own architecture, delivery, stakeholder alignment, and operational outcomes.

AI Center of Excellence / VP, AI and Operations

Report directly to the VP, AI and Operations, providing regular updates on architecture progress, risks, business impact, and resourcing needs.

## What We’re Looking For

Must-Have

- 12+ years of experience with clear progression from engineer to senior/staff engineer to architect leader, including ownership of platforms or infrastructure used by multiple teams—not just individual feature delivery.
- Hands-on experience with agentic AI frameworks and orchestration (e.g., LangGraph or comparable) and familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to enterprise data and tools.
- Experience designing agent harnesses, evaluation frameworks, guardrails, testing, observability, and failure recovery for production AI systems.
- Practical experience with enterprise context architecture, RAG, semantic search, or structured data access.
- Practical experience with LLM cost and performance engineering—prompt caching, model routing, token economics—with quantifiable results.
- AI security fundamentals, including access control, data isolation, prompt injection defense, and secure tool execution.
- CI/CD, cloud infrastructure, APIs, and production operations experience.
- Experience defining enterprise AI architecture, reusable platform patterns, operating models, or governance standards across multiple teams.
- Direct people-management experience, including hiring, coaching, delegation, performance development, and building technical leadership capacity.
- Experience measuring AI adoption, productivity, quality, reliability, cost, and business value.
- Hands-on experience taking architecture from design through implementation, deployment, observability, and production operations.
- Strong architecture decision-making and communication skills, with the ability to align technical and business stakeholders around trade-offs involving value, risk, cost, and execution.

For more information about how Coursera collects and uses your personal information, please see our [Coursera + Udemy Global Applicant Privacy Notice](https://files.clinchtalent.com/1d7f2c0f91ebf75d580f56447fa54859/2acb24eb91f1e23b90ac9e9285de5aaf/Global%20Applicant%20Privacy%20Notice.pdf).

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our [Fraudulent Activity Submission Form.](https://forms.gle/Mb8UktwuaJAukb3H7)

Coursera is an Equal Opportunity 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 recruiting@coursera.org.

## About Coursera

## Company Overview
- **One-liner**: Coursera is a global online learning platform that partners with leading universities and companies to offer courses, certificates, and degrees, enabling individuals and organizations to build job-relevant skills.
- **Entity Type**: Public (NYSE: COUR)
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2012
- **Founders**: Andrew Ng and Daphne Koller

## Core Business
- **Primary industry**: EdTech, online learning, professional development and credentialing
- **Target customers**: B2C (individual learners), B2B (enterprises and teams via Coursera for Business), B2G (governments and institutions)
- **Mission**: “To provide universal access to world-class learning” [coursera.org](https://www.coursera.org/about)

## Products & Services
- **Courses & Specializations**: Free and paid online courses across AI, data science, business, health, and more, often with shareable certificates.
- **Professional Certificates**: Job-aligned programs co-created with employers like Google, IBM, and Microsoft (e.g., Google Cybersecurity, IBM Data Analyst).
- **Online Degrees**: Bachelor’s and master’s degrees from accredited universities in fields such as computer science, data, and business.
- **Coursera Plus**: Annual subscription offering unlimited access to most courses, Specializations, and Professional Certificates.
- **Coursera for Business (Teams & Enterprise)**: Enterprise learning platform with analytics, skills benchmarking, and tailored workforce training. [coursera.org](https://www.coursera.org/)
- **AI-Powered Features**: Coach (personalized guide), Role Play, Course Builder, and Skills Tracks — all designed to deliver scalable, personalized learning.
- **Udemy Merger (Pending)**: In December 2025, Coursera announced a definitive agreement to combine with Udemy, creating one of the world’s most comprehensive skills development platforms (all-stock transaction, subject to approvals). [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx)

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; market cap fluctuates and is not disclosed in the search results).
- **Key Metric**: Full-year 2025 revenue of $757 million (up 9% YoY). Guidance for 2026: $805–815 million. [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx)
- **Notable Investors/Partners**: Over 375 university and industry partners including Google, IBM, Microsoft, Stanford, Yale, and Anthropic. Key shareholders: New Enterprise Associates (NEA) and Andrew Ng (Chairman).
- **Growth Signals**: 197 million registered learners as of Dec 31, 2025; 93% net retention rate for paid enterprise customers; Q4 2025 revenue growth of 10% YoY; India development center expected to drive 33% of product innovation by 2027; merger with Udemy to expand reach.

## Competitive Advantages
- **Trusted Credentials**: Courses and certificates issued directly by top universities and industry leaders (Google, IBM, etc.), widely recognized by employers.
- **AI-Powered Personalization**: Generative AI features (Coach, Role Play, Course Builder) differentiate the learning experience.
- **Scale & Catalog**: One of the largest online learning catalogs globally, covering high-demand fields like GenAI, data science, and cybersecurity. [coursera.org](https://www.coursera.org/)
- **Public Benefit Corporation & B Corp**: Demonstrates commitment to social impact and accessible education.

## Strategic Focus
- **AI Integration**: Continuing to embed AI across the platform to improve learning outcomes and instructor/partner tools.
- **Udemy Combination**: Completing the merger with Udemy to create the most comprehensive skills platform for both individual learners and enterprises.
- **India Expansion**: Building a cross-functional development center in India (product, engineering, data, design) to drive local and global innovation. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs)
- **Enterprise & Government Upskilling**: Scaling Coursera for Business to serve larger organizations and public sector clients worldwide.

## Why Work Here
- **Culture & Impact**: Mission-driven environment focused on transforming lives through learning. Annual “Make-A-Thon” encourages innovation across teams.
- **Career Growth**: Extensive careers rubric, opportunities to work on high-impact projects, and early influence in new geographies (e.g., India Tech Jobs).
- **Remote/Hybrid Policy**: Not explicitly defined in provided materials, but roles are located in Mountain View (HQ) and India (Delhi/NCR); likely offers hybrid or remote flexibility.
- **Engineering & Product Teams**: Cross-functional setup in India covering enterprise payments, machine translations, API platform, and notifications — with autonomy to execute independently. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs)
- **Diverse Roles**: Current openings include Content Production Manager, Instructional Designer, Learning Designer, Degree Program Operations Specialist, and more. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/coursera)

## Sources
1. [coursera.org](https://www.coursera.org/about) – About Coursera
2. [coursera.org](https://www.coursera.org/) – Main site (product details, FAQs)
3. [investor.coursera.com](https://investor.coursera.com/news/news-details/2026/Coursera-Reports-Fourth-Quarter-and-Full-Year-2025-Financial-Results/default.aspx) – Q4 & FY2025 Financial Results
4. [careers.coursera.com](https://careers.coursera.com/india-tech-jobs) – India Tech Jobs page (development center info)
5. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/coursera) – Careers page (open positions)

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