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Director | Generative AI | Hyderabad | Engineering | Quality Engineering
senior · Technology / Software Development
Director | Generative AI | Hyderabad | Engineering | Quality Engineering
• Job requisition ID : 108110
• Location: Hyderabad
• Entity: Deloitte Touche Tohmatsu India LLP
The team
The team must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth.
Key Responsibilities
- QE Architecture: Define enterprise-level QE architecture integrating GenAI, Agentic AI, automation platforms, and modern testing frameworks.
- AI for QE: Drive adoption of AI-powered testing capabilities including test generation, self-healing automation, intelligent defect prediction, autonomous testing, and test optimization.
- AI Testing: Establish frameworks for testing AI and GenAI applications, including LLM validation, model evaluation, bias detection, explainability, safety, and governance.
- GenAI & Agentic AI: Design and implement testing strategies for LLM-based applications, AI agents, agentic workflows, and AI-powered enterprise solutions.
- Enterprise Transformation: Lead QE transformation programs across large enterprise environments and multiple client accounts.
- Client Leadership: Lead client conversations, workshops, solution discussions, and strategic engagements around AI-led Quality Engineering.
- Sales & Pursuits: Lead large pursuits, develop AI-QE solutions, shape proposals, and drive pipeline conversion.
- Capability Building: Establish QE Centers of Excellence, reusable assets, accelerators, frameworks, methodologies, and GTM offerings.
- Thought Leadership: Develop innovative QE strategies, point of views, frameworks, and industry-leading practices.
- Alliance Management: Partner with hyperscalers, technology providers, and strategic alliances to integrate AI and QE capabilities.
- Team Leadership: Lead, mentor, and develop QE architects, AI engineers, automation specialists, and testing professionals.
Required Skills & Experience
- QE Experience: 5+ years of experience in Quality Engineering, Testing, or Test Architecture with strong architecture expertise.
- GenAI: Deep expertise in GenAI, LLMs, Generative AI applications, and AI testing.
- Agentic AI: Strong understanding of Agentic AI, AI agents, agentic workflows, and autonomous systems.
- AI Testing: Strong knowledge of LLM validation, model evaluation, bias detection, explainability, AI safety, and governance.
- Enterprise Transformation: Experience leading enterprise QE transformation programs and multi-account engagements.
- AI Frameworks: Experience with LangChain, LangGraph, Azure OpenAI, AWS Bedrock, or similar AI platforms.
- Automation: Strong experience with modern automation and testing tools such as Playwright, JMeter, and similar technologies.
- Architecture: Strong experience designing enterprise QE architectures, automation frameworks, and testing platforms.
- Client Engagement: Strong thought leadership, consulting, communication, and client engagement skills.
- Leadership: Experience leading teams, large pursuits, transformation programs, and strategic initiatives.