Job Description
The role of a Wipro Gen AI Consultant is mainly based on the application of GenAI, AI powered automation and advanced Testing frameworks in the quality engineering process. The person taking this role will have to possess a lot of automation tools, AI/ML Validation and Cloud platforms, good stakeholder management skills, large Testing Programs management, and Innovation-centric Solutions delivery for our Global Clients as their daily activities.
Date Posted: December 15, 2025
Expiration Date: NA
Experience: 5–8 Years
Job ID: NA
Role: Gen AI Consultant / Transformation Architect – Individual Contributor & Lead
Apply: Apply Now
Primary Responsibilities
- Lead quality engineering and testing transformation initiatives using Gen AI and AI-led automation.
- Design and implement automation frameworks using Selenium (Java/C#/Python), Playwright, MCP, and AI tools.
- Drive AI/ML validation, explainability, synthetic data generation, and continuous testing strategies.
- Build and support Agentic AI and NLP-based test automation solutions.
- Manage large-scale QET programs and deliver end-to-end testing solutions for high-value engagements.
- Collaborate with senior VP-level stakeholders to shape opportunities and convert engagements into managed services.
- Apply domain expertise across Banking, Retail, Healthcare, and Telecom projects.
Basic Requirements
- 5–8 years of experience in Quality Engineering and Testing (manual, automation, non-functional, digital testing).
- Strong expertise in Gen AI automation testing and AI-driven QA innovations.
- Hands-on experience with cloud platforms (AWS, Azure) and DevOps tools.
- Proven ability to handle large testing programs and drive transformation outcomes.
- Excellent communication, leadership, and stakeholder management skills.
Preferred Qualifications
- Certifications like ISTQB Advanced, Certified Scrum Master, TOGAF, and AWS/Azure Architect.
- Skill with GitHub Copilot and AI development tools support.
- Involvement in major deal solutioning (>USD 10M yearly revenue).
Strong understanding of enterprise-scale reporting, testing environments, and service virtualization.