HR Associate - for AI HR Projects (3rd party contract)

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.