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PwC Service Delivery Center
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IN_Associate_Agentic AI

IN_Associate_Agentic AI

PwC Service Delivery Center

2 - 5 years

4 - 7 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

computer science automation framework version control performance management business analysis configuration management workflow agile methodology open source python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Management Level

Associate

& Summary

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

About the Role

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 RetrievalAugmented Generation (RAG), Large Language Models (LLMs), multiagent frameworks, and stateoftheart tooling.

Responsibilities

Design, develop, and deploy GenAI solutions, with a focus on realworld production readiness.

Build and scale RetrievalAugmented Generation (RAG) systems for enterprise use cases.

Integrate with graphbased memory and toolusing agents to enhance LLM capabilities.

Implement multiagent 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 crossfunctional teams to translate business needs into scalable GenAIpowered systems.

Ensure system scalability, reliability, and maintainability through strong software engineering practices.

Mandatory skill sets

2 5 years of total experience in AI/ML or software engineering.

Minimum 2 years of handson experience in building and deploying GenAI systems.

Experience in working with LLMs such as GPT4, Claude 2/Gemini, etc.

Strong handson knowledge of RAG systems and multi agent frameworks like LangGraph, LangChain, or AutoGen..

Proficiency in Python and familiarity with cloudnative deployments (e.g., APIs, containers, microservices).

Solid understanding of software engineering best practices, including version control, testing, and CI/CD.

Experience in working with graphbased memory and LLM tool use patterns.

Preferred skill sets

Experience with toolusing agents, memoryaugmented architectures, or cognitive architectures.

Prior contributions to opensource GenAI or agent frameworks.

Familiarity with Azure OpenAI, AWS Bedrock, or other cloudbased 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

Years of experience required

2 to 4

Education qualification

Bachelor s degree in Computer Science, Engineering, or a related field

Education

Degrees/Field of Study required Bachelor Degree

Degrees/Field of Study preferred

Required Skills

Generative AI

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, 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, Configuration Management (CM), Continuous Process Improvement, Data Analytics {+ 31 more}

Travel Requirements

Available for Work Visa Sponsorship

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