.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.The opportunity EY is looking for a confident Consultant/Senior Consultant – Generative AI Engineer. You will be focusing on architecting and delivering solutions, working with a wide variety of clients and industries. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the data science landscape, supported by EY AI best practices and frameworks. You will provide our clients with a unique perspective on how data science and analytics can transform & improve their entire organization – starting with key business issues they face.Your key responsibilitiesDevelop PoC using Pre-trained Foundation Models and assisting stakeholders with analysis and implementation.Applying prompt-engineering techniques to specific use cases and model types.Collaborating with clients to rapidly develop AI solutions using Azure AI.Applying Foundation Models to propose and validate hypotheses for business queries.Displaying a growth mindset and genuine curiosity to understand clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.Designing, implementing, and productizing AI pipelines with best practices and tools for seamless data handling, preprocessing, prompt design and engineering, deployment, and monitoring.Architecting end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools. Ensuring scalability, reproducibility, and reliability of AI/ML solutions.Developing Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.Contributing to AI governance and ethics practices, addressing data privacy, model explainability, bias mitigation, and human-in-the-loop evaluation.Participating in large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.Skills and attributes for success2+ years of proven experience in designing and delivering AI/ML solutions.Experience in natural language processing (NLP) and text analytics is highly desirable.Knowledge of cloud technologies, specifically Azure, and expertise in leveraging them for large-scale AI workloads.Ability to identify fundamental problems from real-world cloud use-cases and design, build, and validate successful AI solutions.Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes
