Join our Business Consulting team in Bangalore as a Senior Consultant focused on the TMT (Technology, Media & Entertainment, and Telecommunications) sector. This role is pivotal in helping TMT organizations navigate industry convergence, transform their strategies, and achieve sustainable growth. You will contribute to creating exceptional employee and customer experiences, enhancing operational excellence, and enabling M&A strategies that drive value and innovation.

EY Consulting is dedicated to transforming businesses through people, technology, and innovation. Our client-centric approach ensures long-term value by solving complex strategic problems. We operate across Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting, and People Advisory Services. Within Business Consulting, we focus on reimagining business models, driving growth, managing costs, and resolving operational challenges, covering areas like innovation, strategy, finance, supply chain, and operations.

Leverage hands-on experience with generative AI, particularly RAG architectures for retrieval-augmented responses, to develop innovative solutions. Design and implement scalable LLM application orchestration using LangChain. Build stateful, multi-step AI agent and workflow systems with LangGraph. Apply consulting expertise to translate complex business requirements into effective technical AI-enabled solutions. Contribute to solution design, prototyping, and provide deployment support for emerging AI use cases.

This role requires a strong ability to collaborate across client departments, adhering to commercial and legal requirements. You will be expected to approach problem-solving with practicality, delivering insightful and actionable solutions. We value individuals who are agile, curious, mindful, and possess a positive, adaptable, and creative mindset.

We are seeking candidates with a Bachelor of Technology in Computer Science and a minimum of 3 years of experience in Backend Development.

Essential technical expertise includes hands-on experience with generative AI solution development utilizing RAG architectures for retrieval-augmented responses. Proficiency is also required in designing and implementing workflows with LangChain for scalable LLM application orchestration and strong working knowledge of LangGraph for building stateful, multi-step AI agent and workflow systems.

We are looking for individuals who can demonstrate a practical approach to problem-solving and delivering insightful solutions. Agility, curiosity, mindfulness, positive energy, adaptability, and creativity are key attributes for success in this collaborative environment.