IN_Senior Associate_GenAI and Agentic AI Engineer _GCC_Advisory_Bangalore

AI in this role

openaianthropiclangchainautogen

prompt-engineeringragai-agentsai-automationnlp

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Operations

Management Level

Senior Associate

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.

Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

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. "

Responsibilities:

Design and implement autonomous agents using LangChain / Crew.ai / SK / Autogen and other relevant frameworks

Develop and optimize RAG systems for improved information retrieval and response generation

Create robust evaluation frameworks for testing agent performance and safety

Implement monitoring and logging systems for agent behavior

Develop documentation and best practices for agent development

Contribute to the improvement of agent architecture and capabilities

Hands-on experience with:

Building and deploying autonomous agents

LangChain framework for developing applications

Retrieval Augmented Generation (RAG) systems

Large Language Models (LLMs) and their APIs

Solid understanding of safety principles and best practices

Resolving hallucinations in the outcomes

Mandatory Skill sets:

Advanced Python programming with expertise in async programming and API developmenT

Experience with vector databases and embedding models

Proficiency in implementing RAG pipelines and knowledge retrieval systems

Familiarity with prompt engineering and LLM optimization techniques

Experience with development frameworks and tools

Knowledge of modern software development practices (Git, CI/CD, testing)

Preferred Skill sets:

Multiple LLM providers (OpenAI, Anthropic, etc.)

Tools for agent orchestration and workflow management

Natural Language Processing (NLP) techniques

Container technologies (Docker, Kubernetes)

Understanding of semantic search and information retrieval concepts

Knowledge of agent alignment and safety considerations

Years of experience required:

2 to 3+yrs

Education qualification:

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related fields.

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

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Chatbots

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, AI Fluency, AI-Human Collaboration, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery {+ 39 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

July 6, 2026

How we score this

IN_Senior Associate_GenAI and Agentic AI Engineer _GCC_Advisory_Bangalore at PwC scores 93 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

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

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

Prompt EngineeringRagAI AgentsAI AutomationNlpOpenAIAnthropicLangChain

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
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?
Tell me about a workflow you automated with AI tools, end to end.
What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, AI Agents, AI Automation, and Nlp. 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.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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