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GenAI Strategist – Testing Transformation

HCLTech

RemoteFull timeMid levelPosted today
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About the role

Job Responsibilities

  • Define and drive the GenAI strategy for Quality Engineering and Testing transformation initiatives.
  • Identify opportunities to leverage Generative AI across the software testing lifecycle to improve quality, productivity, speed, and business outcomes.
  • Partner with clients and stakeholders to develop AI-enabled testing roadmaps, transformation plans, and business cases.
  • Lead the adoption of AI-powered test engineering solutions, autonomous testing capabilities, and intelligent quality platforms.
  • Advise delivery teams on integrating GenAI tools and frameworks into testing processes and operating models.
  • Collaborate with cross-functional teams to design, implement, and scale AI-driven testing solutions.
  • Track transformation outcomes, establish success metrics, and drive continuous improvement initiatives.
  • Serve as a trusted advisor to clients, providing thought leadership on emerging AI and testing trends.

Job Requirements

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
  • Minimum 12 years of experience in Quality Engineering, Software Testing, or Quality Assurance.
  • At least 5 years of experience leading AI, GenAI, or digital transformation initiatives.
  • Proven experience managing large-scale testing programs and enterprise transformation projects.
  • Strong consulting and stakeholder management experience, preferably with Fortune 500 organizations.
  • Hands-on knowledge of Azure OpenAI, Microsoft Copilot, AI Foundry, or similar GenAI platforms.
  • Strong understanding of modern testing practices, test automation, DevOps, Agile, and Quality Engineering frameworks.
  • Excellent communication, presentation, and business consulting skills.
  • Ability to influence senior stakeholders and drive adoption of innovative technologies across organizations.

Preferred Qualifications

  • Experience with AI-powered quality engineering and autonomous testing solutions.
  • Relevant certifications in AI, Cloud Technologies, Agile, or Quality Engineering.
  • Thought leadership experience in testing transformation, GenAI adoption, or digital innovation.

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