Senior Test Lead

HCLTech
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📍 Madurai, India

About this role

Job Summary

Job Description: GenAI Strategist – Testing Transformation

Role Summary

The GenAI Strategist for Testing Transformation will lead the adoption and scaling of Generative AI capabilities across the Quality Engineering and Testing lifecycle. The role is responsible for defining AI-driven testing strategies, identifying transformation opportunities, building business cases, and working with delivery teams to improve quality, productivity, speed, and business outcomes through GenAI-enabled testing solutions.

The individual will serve as a trusted advisor to clients and internal stakeholders, helping organizations modernize QA practices through AI-powered test engineering, autonomous testing, and intelligent quality platforms.

  • 12+ years in Testing / Quality Engineering.
  • 3+ years in AI/GenAI-driven transformation initiatives.
  • Experience leading large-scale testing programs.
  • Consulting experience with Fortune 500 enterprises.
  • Hands-on exposure to Azure OpenAI, Copilot, AI Foundry, or equivalent platforms.

Key Responsibilities

1. AI-Led Testing Transformation Strategy

  • Define GenAI vision and roadmap for Quality Engineering organizations.
  • Assess current testing maturity and identify AI-driven transformation opportunities.
  • Develop enterprise testing modernization strategies leveraging:
    • GenAI
    • Agentic AI
    • Autonomous Testing
    • Intelligent Test Automation
    • AI-Driven Quality Engineering
  • Create business cases demonstrating productivity gains, cost reduction, and quality improvement.

2. GenAI Use Case Identification

Identify and prioritize high-value GenAI opportunities across:

Requirements Phase

  • Requirement summarization
  • Requirement-to-test-case generation
  • User story quality assessment
  • Acceptance criteria generation

Test Design Phase

  • Automated test case generation
  • Risk-based test design
  • Test scenario optimization
  • Boundary condition identification 

Test Automation Phase

  • Test script generation
  • Automation framework acceleration
  • Self-healing automation
  • Test data generation 

Execution Phase

  • Intelligent test execution selection
  • Test impact analysis
  • Defect prediction
  • Environment validation

Defect Management

  • Defect triage automation
  • Root cause analysis
  • Defect clustering
  • Defect summarization 

Quality Analytics

  • AI-powered dashboards
  • Release readiness scoring
  • Quality risk prediction
  • Predictive insights 

3. Solution Advisory & Architecture

  • Work closely with architects and engineering teams to define GenAI-enabled QE solutions.
  • Define reference architectures for:
    • AI-powered testing platforms
    • Autonomous testing solutions
    • Agent-driven quality engineering
    • Test copilots
    • Test knowledge assistants 
  • Recommend appropriate tools and platforms such as:
    • Microsoft Copilot
    • Azure OpenAI
    • Copilot Studio
    • AI Foundry
    • GitHub
    • Copilot
    • Agentic AI frameworks
    • QE accelerator platforms 

4. Client Consulting & Stakeholder Management

  • Conduct AI discovery workshops with clients.
  • Identify business challenges and map GenAI opportunities.
  • Present transformation roadmaps to executive stakeholders.
  • Drive solution discussions and innovation sessions.
  • Support RFPs, proposals, and large deals involving AI-led testing transformation.

5. Governance & Responsible AI

  • Establish Responsible AI guidelines for quality engineering.
  • Define testing-specific AI governance frameworks.
  • Ensure:
    • Data privacy
    • Compliance
    • Security 
    • Auditability
    • Intellectual property protection 
  • Develop AI prompt libraries and reusable testing assets.

6. Innovation & Capability Development

  • Build testing accelerators using GenAI.
  • Create reusable frameworks and reference implementations.
  • Evaluate emerging AI testing solutions and market trends.
  • Drive proof-of-concepts and pilot programs.
  • Mentor QE teams on GenAI adoption.

Skill Requirements

Domain Skills

  • Quality Engineering
  • Software Testing
  • Test Automation
  • Agile Testing
  • DevOps
  • Continuous Testing
  • Test Management
  • Release Management

 

GenAI Skills

  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval Augmented Generation (RAG)
  • AI Agents
  • Agentic Workflows
  • Copilot Technologies
  • AI Governance

Business & Consulting Skills

  • Digital Transformation
  • Executive Communication
  • Roadmap Development
  • Value Engineering
  • ROI Analysis
  • Stakeholder Management
  • Workshop Facilitation
  • Presales & Solutioning

Other Requirements

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Frequently Asked Questions

Is the salary disclosed for the Senior Test Lead position at HCLTech?
The salary for this Senior Test Lead role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Test Lead position at HCLTech located?
This Senior Test Lead role at HCLTech is based in Madurai, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Test Lead position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Senior Test Lead job at HCLTech posted?
This Senior Test Lead position at HCLTech was posted on Sep 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Test Lead
HCLTech
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