IN_Manager_ AI Engineer_GCC_Advisory_Bangalore

PricewaterhouseCoopers Services LLP

Bengaluru

On-site

INR 1,400,000 - 2,600,000

Full time

2 days ago

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Benefits offered by this job

GenAI learning opportunities

Exposure to advanced AI tooling

Mentorship and growth

Job summary

PwC Bengaluru is seeking a skilled AI Engineer with 2–5 years of experience, including GenAI expertise, to design and deploy GenAI solutions. You will work on Retrieval‑Augmented Generation (RAG), LLMs, and multi‑agent frameworks, building scalable AI systems.

The role requires strong Python skills, cloud‑native deployment knowledge, and collaboration across teams to translate business needs into production‑ready AI solutions. Apply to join a cutting‑edge AI/ML team at PwC.

Qualifications

2–5 years of total experience in AI/ML or software engineering.
Minimum 2 years of hands‑on experience in building and deploying GenAI systems.
Experience with LLMs such as GPT‑4, Claude2/Gemini, etc.
Strong hands‑on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen.
Proficiency in Python and familiarity with cloud‑native deployments (APIs, containers, microservices).
Solid understanding of software engineering best practices, including version control, testing, and CI/CD.
Experience with graph‑based memory and LLM tool use patterns.

Responsibilities

Design, develop, and deploy GenAI solutions with production readiness.
Build and scale Retrieval‑Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph‑based memory and tool‑using agents to enhance LLM capabilities.
Implement multi‑agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph).
Write clean, efficient, and scalable code in Python (or other languages as needed).
Collaborate across cross‑functional teams to translate business needs into scalable GenAI‑powered systems.
Ensure system scalability, reliability, and maintainability through strong software engineering practices.

Skills

Agentic AI

Accepting Feedback

Active Listening

Agile Methodology

AI Fluency

AI‑Human Collaboration

Analytical Thinking

Automation Algorithms

Automation Engineering

Automation Framework Design

Automation Programming

Automation Solutions

Automation Studio

Automation System Efficiency

Blue Prism

Business Analysis

Business Performance Management

Business Process Analysis

Business Process Automation

Business Transformation

Business Value Optimization

C++ Programming Language

Coaching and Feedback

Cognitive Automation

Communication

Education

BE/Btech/MCA/Mtech/MBA

MBA, Master of Engineering, Bachelor of Engineering

Tools

LangGraph

LangChain

AutoGen

Job description

Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager 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.

Job Decription and Summary

We are seeking a passionate and skilled AI Engineer with 2-5 years of experience, including a minimum of 2 years in Generative AI (GenAI), to join our AI/ML team. The AI Engineer will play a key role in building and deploying advanced AI solutions leveraging Retrieval‑Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state‑of‑the‑art tooling.

Responsibilities:

Design, develop, and deploy GenAI solutions, with a focus on real‑world production readiness.
Build and scale Retrieval‑Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph‑based memory and tool‑using agents to enhance LLM capabilities.
Implement multi‑agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).
Write clean, efficient, and scalable code in Python (or other languages as needed).
Collaborate across cross‑functional teams to translate business needs into scalable GenAI‑powered systems.
Ensure system scalability, reliability, and maintainability through strong software engineering practices.

Required Qualifications:

2–5 years of total experience in AI/ML or software engineering.
Minimum 2 years of hands‑on experience in building and deploying GenAI systems.
Experience in working with LLMs such as GPT‑4, Claude2/Gemini, etc.
Strong hands‑on knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen..
Proficiency in Python and familiarity with cloud‑native deployments (e.g., APIs, containers, microservices).
Solid understanding of software engineering best practices, including version control, testing, and CI/CD.
Experience in working with graph‑based memory and LLM tool use patterns.

Preferred Qualifications :

Experience with tool‑using agents, memory‑augmented architectures, or cognitive architectures.
Prior contributions to open‑source GenAI or agent frameworks.
Familiarity with AzureOpenAI, AWS Bedrock, or other cloud‑based LLM services.
Background in optimization, evaluation, and prompt engineering for LLM systems.
Experience in deploying AI systems in production environments and maintaining performance at scale

Why Join Us?

Work with cutting‑edge GenAI and agentic AI tools. Contribute to real‑world, scalable AI solutions. Opportunity to innovate and build next‑gen intelligent systems. Collaborative, growth‑oriented environment.

Mandatory Skill sets:

GenAI and Agentic AI

Preferred Skill sets:

GenAI and Agentic AI

Years of Experience Required:

4 to 7yrs

Education Qualification:

BE/Btech/MCA/Mtech/MBA Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

MBA (Master of Business Administration), Master of Engineering, Bachelor of Engineering

Required Skills