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AI Quality Engineering & Assurance

Wipro

Bengaluru

15+ years

1 day ago

$79.5K–81.9K/yr

Full time

Onsite

Skills Required LLM

RAG

Gen AI

Agentic AI

Azure OpenAI

OpenAI

Gemini

Claude

Machine Learning

AI/ML

QA

Test Strategy

AI Assistants

Copilots

Description Wipro is seeking a Director for AI Quality Engineering & Assurance. The role leads enterprise AI quality strategy, governance, testing standards, and operational excellence across AI-powered solutions.

Company: Wipro Limited

Role: Director -- AI Quality Engineering & Assurance

Location: Bengaluru, Karnataka

Experience

- 15+ years of experience in Quality Engineering, Test Management, and Quality Leadership
- 5+ years leading large-scale QA organizations and digital transformation programs
- Experience in AI/ML, Generative AI, and Large Language Model quality validation
- Experience managing global teams and multi-million-dollar quality portfolios

Responsibilities

- Define and execute the enterprise-wide AI Quality Engineering and Testing Strategy
- Establish AI QA Centers of Excellence, quality governance models, and AI testing best practices
- Lead quality transformation initiatives for AI, Generative AI, Agentic AI, Machine Learning, and Intelligent Automation programs
- Drive organizational adoption of AI quality standards and frameworks
- Build and mentor high-performing QA and Quality Engineering teams across multiple geographies
- Define quality metrics and evaluation frameworks for AI/ML and Generative AI systems
- Establish validation approaches for accuracy, hallucination detection, groundedness, bias and fairness, toxicity and safety, robustness and reliability
- Lead testing of AI Assistants, Copilots, RAG solutions, Chatbots, and Agentic AI systems
- Implement continuous AI quality monitoring and model performance assessment
- Establish Responsible AI testing and compliance frameworks
- Ensure adherence to enterprise security, privacy, regulatory, and ethical AI requirements
- Collaborate with Legal, Compliance, Security,



and Risk teams to manage AI-related risks
- Define audit readiness and governance processes for AI solutions
- Drive adoption of next-generation test automation powered by AI
- Establish automation and quality engineering practices across cloud-native and AI ecosystems
- Define test data management and synthetic data strategies
- Lead implementation of AI-driven test optimization and predictive quality analytics
- Partner with CIOs, CTOs, Product Executives, and Business Leaders to define quality roadmaps
- Present AI quality metrics, risks, and strategic recommendations to executive leadership
- Influence enterprise technology decisions related to AI quality and governance

Nice To Have

- Experience defining AI governance frameworks and responsible AI practices
- Experience leading AI quality initiatives in regulated industries such as Banking, Healthcare, Insurance, Retail, or Technology

More Skills Test Management, Quality Leadership, AI/ML Testing Frameworks, Large Language Model evaluation, RAG Architecture Validation, Agentic AI Testing, Cloud Platforms, Azure, AWS, GCP, Test Automation Platforms, API Testing, Microservices Testing, Data Engineering, Data Quality, MLOps, Model Lifecycle Management, Security, Privacy, Responsible AI Controls, Microsoft Copilot, AI observability tools, LangSmith, MLflow, Prompt Flow, TruLens, DeepEval

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