EY-GDS Consulting-AIA-AI Engineer-Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Function : Consulting Position : Senior   Title : AI/GenAI– Senior Position : Full Time Educational qualification : BTech/Masters/PhD   The opportunity We are seeking an AI/GenAI Senior with 4–8 years of overall professional experience, including hands-on experience in AI/ML, Generative AI, RAG architectures, Conversational AI, AI agents, and enterprise AI solution delivery. The ideal candidate will contribute to the design, development, testing, deployment, and support of scalable AI solutions while working closely with architects, managers, engineers, data scientists, and business stakeholders. The role requires strong technical execution, problem-solving skills, and the ability to translate business requirements into practical AI solution components. The candidate should have experience working on AI-powered solutions such as RAG applications, copilots, conversational AI platforms, knowledge management solutions, automation workflows, and AI agents, while following quality, security, Responsible AI, and performance guidelines. The individual will support AI quality, validation, and operational readiness activities to help ensure reliable, secure, and scalable AI and GenAI implementations across client engagements. Important: Hands-on experience contributing to AI solutions in enterprise, pre-production, or production environments is required. Certifications, personal projects, and demos alone are not sufficient. Application Guidance: Candidates should be able to explain at least one or two AI/GenAI implementations, including the business use case, their contribution, technical approach, and outcomes.   Your key responsibilities

Contribute to the design, development, and implementation of AI, GenAI, RAG-based, conversational AI, and AI agent solutions aligned with business requirements. Work with architects, managers, and engineering teams to convert solution designs into scalable technical components and reusable implementation patterns. Develop and support RAG pipelines, prompt workflows, knowledge retrieval mechanisms, integrations, APIs, and automation components for AI solutions. Collaborate with data scientists, data engineers, application developers, and business teams to deliver AI solution features and resolve technical issues. Support AI solution lifecycle activities, including requirement understanding, design support, development, testing, deployment, monitoring, and continuous improvement. Implement AI evaluation, validation, guardrails, quality checks, and performance tuning under the guidance of senior architects or project leads. Follow Responsible AI, data privacy, security, compliance, and risk management practices while building and deploying AI solutions. Work with enterprise AI platforms such as Azure AI Foundry, Azure OpenAI, Databricks, vector databases, and related modern AI frameworks. Prepare technical documentation, implementation notes, test results, solution walkthroughs, and status updates for internal and client stakehoders. Stay current with developments in GenAI, AI agents, multimodal AI, RAG patterns, prompt engineering, and enterprise AI platforms.

Skills and Attributes: Professional Experience

4–8 years of overall experience, including hands-on exposure to AI/ML, Generative AI, data engineering, cloud-based AI platforms, or enterprise application development. Practical experience contributing to AI, GenAI, Copilot, Conversational AI, Agentic AI, or RAG-based solutions in enterprise or client-facing environments. Hands-on understanding of one or more areas such as LLM