IN_Associate_Agentic AI Testing_Digital Integration_Advisory_Kolkata

Advisory

Not Applicable

Microsoft

Associate

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In quality engineering at PwC, you will focus on implementing leading practice standards of quality in software development and testing processes. In this field, you will use your experience to identify and resolve defects, optimise performance, and enhance user experience.

*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:  

We are looking for someone who can validate the full agentic lifecycle—from user intent and prompting, through agent reasoning and routing, to MCP tool execution and end-to-end workflow validation—with strong observability, automation, and AI quality assessment skills 

Responsibilities: 

 

• Validate the entire agentic lifecycle, starting from user intent and prompting through agent reasoning and routing. 

• Ensure accurate MCP tool execution and conduct thorough end-to-end workflow validation. 

• Utilize strong observability skills to monitor and assess the effectiveness of workflows. 

• Employ automation techniques to streamline testing and validation processes. 

• Conduct AI quality assessments to ensure optimal functionality and performance of the system. 

• Collaborate with cross-functional teams to refine and enhance lifecycle validation methodologies. 

Mandatory skill sets: 

 

• Strong experience in Agentic AI testing and validation. 

• Must have hands-on knowledge of MCP testing, including tool invocation validation, payload/schema validation, orchestration, error handling, retries, and API/integration testing. 

• Experience with AI observability and tracing tools such as LangFuse, Phoenix, or similar platforms for debugging, root cause analysis, and agent behavior validation. 

• Strong understanding of AI quality metrics including hallucination detection, accuracy, correctness, groundedness, consistency, determinism, and latency. 

• Experience designing and executing prompt testing strategies, including multi-turn, multi-hop, ambiguous, negative, and guardrail/jailbreak scenarios. 

• Understanding of intent recognition, routing validation, agent selection, context retention, memory validation, and reasoning/planning validation. 

• Ability to create test strategies, evaluation rubrics, golden datasets, and quality metrics for AI systems. 

• Experience with API testing and automation frameworks (e.g., Postman, Katalon, Playwright, or equivalent). 

Preferred skill sets: 

 

• Experience automating multi-agent validation and orchestration testing. 

• Experience with RAG validation, retrieval quality assessment, and grounding/citation validation. 

• Knowledge of AI governance, Responsible AI, and risk-based AI validation approaches. 

• Experience building automated evaluation pipelines and AI scoring frameworks. 

• Familiarity with token usage, model observability, and AI performance monitoring. 

Years of experience required: 

4+yrs 

Education qualification: 

Bachelor's degree in Computer Science, IT, or a related field. 

 

QA Automation

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Communication, Compatibility Testing, Defect Reporting, Digital Tooling, Emotional Regulation, Empathy, Functional Testing, Inclusion, Intellectual Curiosity, Optimism, Performance Testing, Post Go Live Support, Process Improvement, QA Methodologies, Quality Assurance Engineering, Quality Assurance Metrics, Quality Assurance Process Design, Quality Assurance Process Evaluation, Quality Assurance Process Management, Quality Assurance Testing {+ 17 more}

Not Specified

No

No

July 9, 2026