Coursera: Enterprise Agentic AI Architect — India

About Coursera

Coursera operates an online learning platform. It was launched in 2012 by Andrew Ng and Daphne Koller and partners with universities, governments and companies to offer courses, certificate programmes and degrees in fields such as technology, data science and business, to individual learners and institutions. Its employer feed lists roles across product, engineering and commercial functions for this online learning platform.

The position and its setting

Coursera lists Enterprise Agentic AI Architect in India, under reference 6223129004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Partner Success Services
• Employer listing date: 14 October 2026

Responsibilities and work described

• 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
• This is a hands-on architecture role, not a pure strategy role: you will be building, not just advising

Essential requirements and candidate background

• 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
• Experience: agentic AI frameworks and orchestration (e.g., LangGraph or comparable) and familiarity with MCP (Model Context Protocol) 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
• 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
• 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

Location, schedule and contract conditions

• Advertised location: India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Enterprise Agentic AI Architect vacancy is not an offer for reference 6223129004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Coursera

Applications follow the official employer page linked below.

Open the official Coursera posting below and match the title and reference 6223129004.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: CI/CD

CI/CD experience should describe the path from a proposed change to a release. Identify the checks, build artefacts and deployment steps you worked on, together with the problem the pipeline solved.

Relevant skills

• CI/CD
• MCP
• APIs
• AI/ML
• LLMs
• ISO
• AI
• audit
• recruitment
• procurement
• stakeholder management
• communication
• partnership development