WIWiproVerified listing

Automation AI Project Manager with Immediate joining

BengaluruOn-siteStaff/Principal

Recently posted - highest visibilityPosted 9h ago

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The job post

233 words · from Wipro's careers site

Job Description

Role Purpose

The purpose of this role is to design solution architecture for cross-system interactions and business logic integration, ensuring seamless interoperability across multiple applications.

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Title: 

Title: Automation AI Project Manager

Total Years of Experience: 10 years to 17 years

Location: Bengaluru

Required Qualifications and Experience

  • 12-16 years of overall IT experience, with at least 7 years in automation, AI-enabled transformation, infrastructure operations, DevOps, cloud delivery or related programs.
  • Proven ownership of multiple medium-to-large technology transformation programs involving cross-functional and geographically distributed teams.
  • Demonstrated experience delivering automation projects end to end, from opportunity discovery and solution planning through deployment, adoption and benefit realization.
  • Experience managing senior customer stakeholders, steering committees, delivery reviews, financials, resourcing, vendors and contractual commitments.
  • Practical understanding of Agile/Scrum delivery, ITIL-based operations, software engineering lifecycle, change/release management and service transition.
  • Strong analytical, problem-solving, negotiation, written communication and executive presentation skills.
  • Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline, or equivalent professional experience.

 Preferred Qualifications

  • PMP, PRINCE2, SAFe, Certified ScrumMaster or equivalent project/agile certification.
  • Microsoft Azure, AWS, HashiCorp Terraform, Red Hat Ansible, ServiceNow or DevOps certification.
  • Experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock, Copilot Studio, LangChain/LangGraph, Semantic Kernel or comparable enterprise AI platforms.
  • Exposure to AI governance, model/prompt evaluation, Responsible AI, LLMOps, FinOps and secure software supply-chain practices.
  • Experience in managed infrastructure services, account automation, consulting, presales or transformation-office environments.

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