IN-Specialist 3__AI-Testing_GCC_Advisory_Bangalore

PwC is hiring an IN-Specialist 3__AI-Testing_GCC_Advisory_Bangalore. Level rates it ; you can apply on Level.

AI in this role

openaicopilotmlflowdatabricks

ragai-agents

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Specialist

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC

At 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 us.

At 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep 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:

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

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.

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.

Conduct load, stress, scalability, and resilience testing for AI

Mandatory skill sets:

Playwright

Selenium

MLflow

OpenAI Evaluations

CI/CD Pipelines

Preferred skill sets:

Experience testing LLMs, RAG architectures, AI Agents, and Copilot

Years of experience required:

0-2

Education qualification:

B.Tech / M.Tech / MBA / MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 31, 2026

How we rate this

IN-Specialist 3__AI-Testing_GCC_Advisory_Bangalore at PwC rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

IN-Specialist 3__AI-Testing_GCC_Advisory_Bangalore is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bengaluru Millenia.
The job was posted on October 9, 2026.
Applications are handled by PwC. Apply on PwC

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI agentsOpenAICopilotMlflowDatabricks

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of OpenAI that you've run into, and how did you work around them?
What's a project where you used Copilot hands-on?
Walk me through how you've used Mlflow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, OpenAI, Copilot, and Mlflow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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