DE-NCLC-Senior Co-pilot Developer-GDSN02

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.

Custom Copilot engineer – S enior 1 – Consulting   EY GDS Consulting digital, is looking out for experienced Azure AI Engineer, especially on Microsoft platforms.  Resource will be part of NCLC team delivering to clients across regions.   The opportunity   We're seeking a skilled Custom Copilot engineer to join the group of our NCLC Consulting team. You'll be instrumental in designing, developing, and deploying robust, scalable applications leveraging the power of Microsoft Azure and generative AI. This is a great opportunity to be part of a leading firm and play a key role in the growth of our service offerings.   Your key responsibilities

Produces high-quality solution or infrastructure deliverables in accordance with project timelines and specifications, using sound coding and programming skills Performs coding, debugging, testing and troubleshooting throughout the development process contributing to moderately complex aspects of a project Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary Works with users to capture detailed requirements, translating designs and solution architecture into design specifications Monitors and reports on potential risks/opportunities of emerging technologies, and seeks areas for continuous improvement Ensures all activities adhere to the relevant processes, procedures, standards and technical design Develop and promote best practices for usage, operations and development Strong analytical and communication skills with intense drive to learn and adopt.

Build custom AI Agents through Copilot Studio and/or Azure AI Foundry through plugin architecture, API function calling, logic apps, storage of prompts, conversation history (Azure Cosmos DB), Azure Key Vault , Container Apps , Blob Storage, Cosmos DB. Implement intelligent solutions using SDKs like Azure AI Foundry, AutoGen, LangChain and Semantic Kernel. Design and customize robust AI solutions leveraging Azure AI Services including Azure AI Document Intelligence, Azure AI Vision, Azure AI Language, Azure AI Translator, and Azure OpenAI Service. Design multi-step prompt workflows, leverage RAG patterns to integrate LLMs with enterprise data, design intelligent agents that are task-based and/or role-based by using responsible AI principles. Design and implement solutions on Microsoft Azure, including Azure Functions, Azure App Service, logic Apps, Azure SQL Database, Azure Cosmos DB, and Azure Foundry. Fine-tune and optimize AI models by selecting the most appropriate architectures for performance and efficiency. Knowledge of cloud computing and Azure infrastructure. Craft precise and effective prompts to guide AI models and improve their outputs. Monitor and analyse Azure AI costs to ensure efficient resource utilization. Develop and integrate custom tools within AI agents to extend their capabilities. Demonstrate strong expertise in Azure AI Foundry and prompt engineering for building declarative and multi-modal agents. Integrate AI-powered features into full-stack web applications to improve user experience and efficiency. Collaborate with data scientists and machine learning engineers to deploy AI models into production. Stay up-to-date with the latest advancements in .NET Core, Azure, and AI technologies. Adhere to best practices for software development, including code reviews, unit testing, and continuous integration/continuous delivery (CI/CD) and MLOps.

Overall 4+ years of experience in Azure,