EY Senior Consultant - Business Consulting PI 

India, Karnataka, Bengaluru 

80846551

Requisition Id : 1631499

TMT :

Industry convergence offers TMT (Technology, Media & Entertainment, and Telecommunications) organizations the chance to evolve and transform, but it also presents challenges around competitiveness and delivering agile corporate strategies for growth.

CNS - BC - Finance :

It has multiple fields of play such as:

Supply Chain and Operations - we provide a unique combination of industry-specific, strategic, operational and financial insights, digital technology advances and strategic alliance partners to deliver better outcomes and also help clients effect fundamental change in their operations’ performance to support sales growth, become more cost competitive, minimize risk and ensure operational resilience.

Your key responsibilities

Technical Excellence

Location: Bangalore, Mandatory to work from office. Experience Level: 3-5 years Job Title: Generative &?Agentic?AI Developer Job Summary: At EY, we’re building the next generation of AI-first solutions to transform enterprises across finance, supply chain, risk, compliance, and customer experience. Our AI & Advanced Technology team blends deep business context with cutting-edge GenAI, multi-agent systems, and scalable architecture to deliver real impact. Join us as we shape the future of autonomous and intelligent systems. We’re looking for a hands-on GenAI and Agentic AI Developer who has built and deployed multiple real-world solutions. You will work closely with product managers, solution architects, data scientists, and client teams to design, build, and operationalize Generative AI and agentbased systems for enterprise use cases. Key Responsibilities: • Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) • Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel. • Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector. • Optimize RAG pipelines for latency, relevance, and safety. • Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications. • Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed. • Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP. • Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity). • Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory. Skills & Qualifications: • 3–5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes. • Strong Python (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins. • Strong Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem. • Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face, LlamaIndex, or OpenAI SDKs. • Comfortable deploying models and services to cloud environments (Azure preferred), Kubernetes, and managing GPU infrastructure. • Experience with Pinecone, Weaviate, pgvector, or similar for document retrieval and augmentation. • Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN). • Ability to preprocess and work with large datasets, including text, images, and structured data. • Familiarity with cloud platforms like AWS, GCP, or Azure for deploying AI models. • Experience with APIs, microservices, and integrating AI/ML models into production environments. • Strong problem-solving skills and the ability to work in an agile environment. • Excellent communication skills and a collaborative mindset. Education: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

Skills and attributes

To qualify for the role you must have
Qualification

Location: Bangalore, Mandatory to work from office. Experience Level: 3-5 years Job Title: Generative &?Agentic?AI Developer Job Summary: At EY, we’re building the next generation of AI-first solutions to transform enterprises across finance, supply chain, risk, compliance, and customer experience. Our AI & Advanced Technology team blends deep business context with cutting-edge GenAI, multi-agent systems, and scalable architecture to deliver real impact. Join us as we shape the future of autonomous and intelligent systems. We’re looking for a hands-on GenAI and Agentic AI Developer who has built and deployed multiple real-world solutions. You will work closely with product managers, solution architects, data scientists, and client teams to design, build, and operationalize Generative AI and agentbased systems for enterprise use cases. Key Responsibilities: • Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) • Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel. • Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector. • Optimize RAG pipelines for latency, relevance, and safety. • Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications. • Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed. • Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP. • Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity). • Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory. Skills & Qualifications: • 3–5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes. • Strong Python (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins. • Strong Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem. • Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face, LlamaIndex, or OpenAI SDKs. • Comfortable deploying models and services to cloud environments (Azure preferred), Kubernetes, and managing GPU infrastructure. • Experience with Pinecone, Weaviate, pgvector, or similar for document retrieval and augmentation. • Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN). • Ability to preprocess and work with large datasets, including text, images, and structured data. • Familiarity with cloud platforms like AWS, GCP, or Azure for deploying AI models. • Experience with APIs, microservices, and integrating AI/ML models into production environments. • Strong problem-solving skills and the ability to work in an agile environment. • Excellent communication skills and a collaborative mindset. Education: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

Location: Bangalore, Mandatory to work from office. Experience Level: 3-5 years Job Title: Generative &?Agentic?AI Developer Job Summary: At EY, we’re building the next generation of AI-first solutions to transform enterprises across finance, supply chain, risk, compliance, and customer experience. Our AI & Advanced Technology team blends deep business context with cutting-edge GenAI, multi-agent systems, and scalable architecture to deliver real impact. Join us as we shape the future of autonomous and intelligent systems. We’re looking for a hands-on GenAI and Agentic AI Developer who has built and deployed multiple real-world solutions. You will work closely with product managers, solution architects, data scientists, and client teams to design, build, and operationalize Generative AI and agentbased systems for enterprise use cases. Key Responsibilities: • Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) • Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel. • Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector. • Optimize RAG pipelines for latency, relevance, and safety. • Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications. • Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed. • Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP. • Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity). • Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory. Skills & Qualifications: • 3–5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes. • Strong Python (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins. • Strong Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem. • Strong programming skills in Python and experience with frameworks like LangChain, Hugging Face, LlamaIndex, or OpenAI SDKs. • Comfortable deploying models and services to cloud environments (Azure preferred), Kubernetes, and managing GPU infrastructure. • Experience with Pinecone, Weaviate, pgvector, or similar for document retrieval and augmentation. • Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN). • Ability to preprocess and work with large datasets, including text, images, and structured data. • Familiarity with cloud platforms like AWS, GCP, or Azure for deploying AI models. • Experience with APIs, microservices, and integrating AI/ML models into production environments. • Strong problem-solving skills and the ability to work in an agile environment. • Excellent communication skills and a collaborative mindset. Education: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.