Automation AI / Agentic AI, Wipro

Automation AI Engineer
Mumbai, Maharashtra, India
March 13, 2026
Full Time

Apply for this job

Email *
Executive Name *

Job Description

Wipro to hire an Automation AI Engineer who will create and implement AI workflows and multi-agent systems. The role requires developers to create automation systems which use LLM technology and connect with business systems to produce AI solutions that improve operational processes. The engineers will work together with different teams to develop AI systems which meet complex demands and maintain deployment standards for governance, safety, and reliability.

Date Posted: February 2026

Expiration Date: NA

Apply: Apply Now

Main Duties

  • Design and develop agentic AI systems with autonomous decision-making, adaptive reasoning and measurable outcomes.
  • Build LLM-driven agents integrated with APIs, databases, automation platforms and enterprise applications.
  • Develop multi-agent architectures with coordination mechanisms, memory systems and retrieval-augmented generation capabilities.
  • Monitor agent performance including accuracy, latency, cost efficiency, and reliability with continuous optimization.
  • Collaborate with stakeholders to convert business challenges into scalable AI-driven automation solutions.

Essential Qualifications

  • Bachelor’s degree program which includes computer science engineering IT or related technical fields. 
  • Practical programming skills in Python and experience with AI orchestration technologies. 
  • Experience with large language models LLMs prompt engineering semantic retrieval systems and vector databases. 
  • Candidate possesses understanding of application programming interfaces APIs enterprise system integrations workflow management systems and event-based architectural patterns. 
  • AI systems which meet security and reliability requirements through governance controls and validation systems and monitoring components.

Preferred Qualifications

  • Agent frameworks which include Semantic Kernel and LangGraph and AutoGen and CrewAI and equivalent software products. 
  • Experience with AI solution implementation in Azure cloud computing environments. 
  • Human-in-the-loop AI systems together with their audit trails and AI risk management procedures. 
  • Expertise in current deployment technologies which include containerization and CI/CD pipelines. 
  • Communication abilities which they have developed through their experience in remote and interdisciplinary team environments.