EY, a global leader in professional services, invites experienced professionals to join our dynamic Business Consulting team. We are dedicated to fostering a culture of continuous learning and development, empowering our people to build fulfilling careers and achieve their professional aspirations. This role offers a unique opportunity to contribute to transformative projects within the Technology, Media & Entertainment, and Telecommunications (TMT) sector, focusing on driving growth and operational excellence.

Our Consulting practice is at the forefront of business transformation, leveraging innovative solutions and client-centric strategies. We partner with organizations to solve their most complex challenges, create sustainable value, and shape a better working world. Join a team that values collaboration, creativity, and a passion for innovation.

Design AI platform architectures that align with business consulting and finance transformation objectives. Implement scalable, agentic AI solutions using LangGraph for workflow orchestration. Develop and optimize Retrieval-Augmented Generation (RAG) for enterprise use cases. Translate business requirements into robust technical AI solutions, applying strong consulting acumen. Evaluate, integrate, and govern AI platforms to ensure reliable, production-ready delivery.

This role requires a proactive approach to problem-solving and the ability to deliver insightful, practical solutions. You will collaborate effectively across multiple client departments, adhering to commercial and legal requirements.

A Bachelor of Technology in Computer Science is required for this position. Candidates must possess at least 3 years of experience in Artificial Intelligence and Machine Learning.

We are seeking individuals with a practical mindset, capable of tackling complex issues and delivering actionable insights. The ideal candidate will be agile, curious, mindful, and maintain positive energy, demonstrating adaptability and creativity in their approach. Experience with LangGraph-based workflow orchestration and RAG implementation is highly desirable.