IN_Manager_AI-SDET Lead_Data Analytics_ Advisory_Bangalore

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

& Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.
Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations, including data acquisition, transformation, and loading processes, to enable the smooth functioning of data management systems and processes.
Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about usAt PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. & Summary:A career within….A career within Data and Analytics services will provide you with the opportunity to helporganizationsuncover enterprise insights and drive business results using smarter data analytics. We focus on a collection oforganizationaltechnology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within theirorganizationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities:AI Testing Strategy & Leadership 

• Define and implement enterprise-wide AI testing and quality assurance strategies.

• Lead a team of SDETs and QA engineers supporting AI/ML and GenAI applications.

• Establish quality standards, testing frameworks, and governance processes for AI solutions.

• Drive continuous improvement in test automation, quality metrics, and release processes.

• Build and maintain scalable automation frameworks for AI applications and APIs.

• Develop automated validation pipelines for machine learning models.

• Integrate automated testing into CI/CD workflows.

• Design automated regression, functional, integration, performance, and security tests.

• Validate model accuracy, precision, recall, F1-score, and business outcomes.

• Test model drift, data drift, concept drift, and retraining workflows.

• Perform bias, fairness, explainability, and hallucination testing.

• Validate LLM responses using automated evaluation frameworks.

• Design testing strategies for chatbots, copilots, agents, and RAG applications.

• Evaluate prompt effectiveness and response quality.

• Implement automated prompt testing and output validation.

• Test grounding, toxicity, hallucination, and safety controls.

• Conduct load, stress, scalability, and resilience testing for AI systems.

• Analyze latency, throughput, token consumption, and inference performance.

• Ensure high availability and reliability of AI services.

• Validate data pipelines, feature engineering, and training datasets.

• Identify data quality issues affecting model performance.

• Implement automated data validation and monitoring controls.

• Integrate AI testing practices intoDevSecOpspipelines.

• Automate test execution across cloud environments.

• Work with engineering teams to enable shift-left quality practices.

• Playwright

• Selenium

• MLflow

• OpenAI Evaluations

• CI/CD Pipelines

• Experience testing LLMs, RAGarchitectures, AI Agents, and Copilot solutions. 

• Knowledge of Responsible AI principles. 

•  Experience withMLOpsandModelOpspractices. 

• AI/ML certifications from Microsoft, AWS, Google, or equivalent. 

• Experience in enterprise-scale cloud environments.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Playwright

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Azure DevOps Server, Coaching and Feedback, Communication, Creativity, Database Administration, Database Performance Management, Database Quality Assurance, Database Troubleshooting, Data Error Checking, Data Optimization, Data Profiling, Data Quality, Data Quality Assessment, Data Quality Assurance Testing, Data Quality Automation, Data Science Troubleshooting, Data Validation, Data Warehousing Quality Assurance, Embracing Change, Emotional Regulation, Empathy + 15 more

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date
August 20, 2026