AI Trainer

Chitkara University; Rajpura; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Chitkara University seeks a hands-on AI Trainer to build practical AI capabilities among students, faculty and executive-education participants. You will deliver engaging training, develop business-focused curricula and demonstrate how AI tools can improve decision-making and productivity across functions.

This is primarily a training and applied-AI education role, focusing on curricula development, workshops and assessments rather than research or software engineering.

Qualifications

• Strong hands-on knowledge of generative AI, prompt engineering and AI agents.
• Understanding of business applications of AI across functions.
• Familiarity with enterprise AI platforms and data governance.

Responsibilities

• Conduct workshops, boot camps and practical lab sessions on AI tools.
• Develop role-specific learning paths for Business, Marketing, Finance, HR, Operations and Strategy.
• Teach structured prompting, AI-assisted research, and data workflows.
• Introduce AI agents, RAG and no-code automation using platforms like n8n, Make or Zapier.
• Train users on ChatGPT, Gemini, Claude, Copilot and related tools.
• Support faculty in integrating AI into courses and assessments.
• Deliver AI programmes for working professionals and corporate groups.
• Create practical assessments and measure learning outcomes.
• Promote responsible AI use, data privacy and academic integrity.
• Continuously evaluate emerging AI tools for institutional applications.

Skills

Generative AI

Prompt engineering

AI agents

Workflow automation

Education

Bachelor’s or Master’s degree

Tools

Power BI

Tableau

Looker

Job description

About the Role:

Chitkara Business School is seeking a hands‑on AI Trainer to build practical AI capabilities among students, faculty and executive‑education participants.

The role involves delivering engaging training, developing business‑focused curricula and demonstrating how contemporary AI tools can improve decision‑making and productivity across functions.

This is primarily a training and applied‑AI education role, rather than a research or software‑engineering position.

Key Responsibilities:

• Conduct workshops, boot camps and practical lab sessions on AI tools.


• Develop role‑specific learning paths for Marketing, Finance, HR, Operations and Strategy.


• Teach structured prompting, AI‑assisted research, document/data workflows and business analysis.


• Introduce AI agents, RAG and no‑code automation using platforms such as n8n, Make or Zapier.


• Train users on ChatGPT, Gemini, Claude, Copilot, Perplexity, NotebookLM and related tools.


• Support faculty in integrating AI into courses and assessments.


• Deliver AI programmes for working professionals and corporate groups.


• Create practical assessments and measure learning outcomes.


• Promote responsible AI use, data privacy and academic integrity.


• Continuously evaluate emerging AI tools and recommend suitable institutional applications.

Required Profile:

• Strong hands‑on knowledge of generative AI, prompt engineering, AI agents and workflow automation.


• Understanding of business applications of AI across Marketing, Finance, HR, Operations and Strategy.


• Familiarity with Gemini for Google Workspace and other enterprise AI platforms.


• Ability to simplify complex concepts and engage participants with different skill levels.


• Experience in curriculum and outcome‑based assessment design.


• Good understanding of responsible AI, data privacy and governance.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Business, Technology, Education or a related field.


• Certifications from Google, Microsoft, OpenAI, AWS or similar platforms.

Experience Required:

• 3–6 years of experience in training, teaching, L&D, higher education or professional upskilling.


• Experience in higher education or executive education.


• Familiarity with Power BI, Tableau, Looker or similar BI tools.


• Knowledge of OBE, NEP 2020 and accreditation requirements.


• Experience in AI programme governance or establishing an AI Centre of Excellence.