Position: Intern – AI & HR Process Transformation
Number of Positions: 1
Function: HR Technology / HR Transformation
Focus: AI, Agentic AI, Automation, Machine Learning & Process Transformation
Role Overview:
We are looking for an Associate to support our AI for HR transformation initiatives.
The role involves understanding HR processes, identifying opportunities for automation and intelligent intervention, and determining whether a use case is best addressed through AI Agents, Generative AI, Chatbots, RPA, Machine Learning, or traditional technology solutions.
This is not a purely technical role. Candidates should be able to understand the business/process problem first and then identify the most appropriate technology solution.
Key Responsibilities:
- Understand HR processes across areas such as HR Operations, Recruitment, Employee Experience, Payroll, Learning, Benefits and Attendance.
- Analyse process flows, dependencies, data, decision points and manual interventions.
- Identify opportunities to simplify, digitise, automate or intelligently automate HR processes.
- Evaluate the appropriate technology approach — RPA, AI Agents, GenAI, Chatbots, ML, APIs or traditional workflows.
- Develop AI agents, bots and automation solutions, including Proofs of Concept (PoCs).
- Work with LLMs, APIs, automation platforms and AI/ML technologies.
- Support data analysis, model development and validation of AI outputs where required.
- Challenge existing processes and design improved future-state processes.
- Test solutions, identify edge cases and support pilot implementations.
- Document use cases, solution approaches, learnings and recommendations.
Ideal Candidate Profile
We are looking for candidates who combine technology skills with business/process thinking.
Technical Skills – Preferred
- Hands-on exposure to AI/ML and Generative AI.
- Experience building AI Agents, Chatbots or Bots.
- Python or another programming language.
- Understanding of LLMs, APIs and system integrations.
- Basic Machine Learning knowledge.
- Exposure to RPA/automation tools such as UiPath, Power Automate or Automation Anywhere.
- Understanding of prompt engineering and LLM workflows.
- SQL/database knowledge is an advantage.
Strong Advantage
- Experience building AI Agents / Agentic AI workflows.
- Exposure to frameworks such as LangChain, LangGraph, CrewAI, AutoGen or similar.
- Experience integrating LLMs with APIs/tools.
- Academic or personal projects involving AI, automation or ML.
Business & Analytical Skills
The candidate should be able to:
- Understand a business/process problem before selecting a technology.
- Break processes into steps, rules and decision points.
- Identify what should be automated versus where human intervention is required.
- Evaluate RPA vs AI Agent vs Bot vs ML vs traditional automation.
- Demonstrate structured problem-solving and analytical thinking.
- Present ideas and recommendations clearly to business stakeholders.
Education
Candidates with a degree in:
- Computer Science
- Artificial Intelligence
- Machine Learning
- Data Science
- Information Technology
- Software Engineering
- Electronics
- Related disciplines
Preferred: Final-year students or recent graduates with strong hands-on AI/automation projects.
Expected Approach
Understand HR Problem → Analyse Process → Identify Pain Points → Evaluate Technology → Select Right Solution → Build PoC → Test → Recommend / Implement
The candidate should not assume every problem needs AI and should be able to identify when RPA, workflow automation or traditional technology is more appropriate.
Key Deliverables
- Identify potential AI/automation use cases across HR.
- Build functional AI/automation PoCs.
- Develop or support AI agents and bots.
- Recommend appropriate technology solutions for identified use cases.
- Support pilots and measure impact.
- Document successful use cases for potential enterprise-scale implementation.
Success Measures
Success will be measured by the ability to:
- Identify meaningful HR use cases for AI and automation.
- Build practical prototypes/PoCs.
- Demonstrate improvements in productivity, turnaround time, employee experience or process efficiency.
- Select the right technology rather than defaulting to AI.
- Translate an HR/business problem into a practical technology solution.
