01Overview
Job Title: AI / Agentic AI Engineer - Intelligent HR Automation
City: Bengaluru
State/Province: Karnataka
Posting Start Date: 6/22/26
Role Summary
Join our Global People Operations team as an AI / Agentic AI Engineer focused on building autonomous, decision-assisted, and learning-driven HR solutions. This role emphasizes AI-first problem solving, development of AI/ML models, and multi-agent orchestration across the HR lifecycle.
Location: Bengaluru
Experience: 35 years
Employment Type: Full-time
Role Purpose The purpose of the role is to design, and architect VLSI and Hardware based products and enable delivery teams to provide exceptional client engagement and satisfaction.
Do
Provides technical and strategic input during the product deployment and deployment a. Support Delivery team during the product deployment process and resolve complex issues b. Collaborate with delivery team to develop a product validation and performance testing plan as per the business requirements and specifications.
c. Identifies implementation risks and potential impacts.
No . Performance Parameter Measure
Product design, engineering and implementation CSAT, quality of design/ architecture, FTR , delivery as per cost, quality and timeline, POC review and standards
Capability development % trainings and certifications completed, mentor technical teams, Thought leadership content developed (white papers, Wipro PoVs)
Key Responsibilities
Design, build, and orchestrate AI agents for HR use cases including case triage, policy interpretation, compliance checks, and conversational self-service.
Develop AI/ML models using Python for predictive analytics such as data risk, hiring funnel optimization, and operations performance forecasting.
Implement LLM-powered solutions using prompt engineering, RAG, and agent memory patterns.
Own AI architecture decisions including model lifecycle, explainability, governance, and ethical AI considerations for HR data.
Use Power Automate and Logic Apps to orchestrate AI decisions, trigger workflows, manage exceptions, and integrate enterprise systems.
Required Skills
Core Skills:
Strong hands-on experience with AI/ML development in Python.
Experience building Agentic AI systems and multi-agent orchestration frameworks.
Strong understanding of LLMs, embeddings, RAG, and AI orchestration patterns.
Handson experience with enterprise AI platforms such as Google Gemini and Microsoft Copilot (Copilot Studio / M365 Copilot) to design, configure, and deploy generative AI and agentbased solutions for business use cases.
Experience handling sensitive HR/PII data with governance and security controls.
Added Advantage:
Experience with Power Automate, Power Apps, and RPA for workflow enablement.
Exposure to OCR and document automation solutions. .
