Advance your career with EY as a Senior Application Developer specializing in Agentic AI and .NET technologies. This pivotal role within the Tax Service Line offers an unparalleled opportunity to contribute to a pioneering firm and significantly impact the growth of Agentic AI transformations. Join a dynamic team and help shape the future of AI-driven solutions.

Key responsibilities include designing, developing, and implementing sophisticated AI agents, plugins, and APIs, ensuring seamless integration with diverse systems and adherence to core product strategies. You will be instrumental in estimating and managing technical efforts, including detailed work breakdown structures, risk assessment, and solution development, all while upholding rigorous development methodologies and key performance indicators. Effective communication with team members and stakeholders is crucial for managing expectations and fostering collaborative problem-solving. Furthermore, you'll contribute to enhancing development and engineering standards, proactively identifying potential issues and leading their resolution.

This senior role demands expertise in full-stack development using .NET C#, REST APIs, and modern UI frameworks like React or other TypeScript-based solutions, coupled with proficiency in SQL databases. Advanced knowledge of Azure services, including App Services, Functions, Entra ID, and Foundry Services, is essential. Experience with containerization technologies such as Docker, Azure Container Apps, and Azure Kubernetes Services (AKS) is required. Familiarity with NoSQL databases like Cosmos DB or MongoDB, and source control systems like Git or TFVC is also necessary. Proficiency in CI/CD pipelines, Azure DevOps, and GitHub Actions for both code and infrastructure is expected. Experience with AI coding platforms like GitHub Copilot, Cursor, or Claude, and hands-on development with Generative AI using Azure OpenAI, Microsoft Agent Framework/Semantic Kernel, MCP, and vector databases is critical. A solid understanding of Large Language Models (LLMs), Retrieval Augmented Generation (RAG) techniques, and classical AI/ML fundamentals, alongside advanced prompt engineering skills, are paramount. A Bachelor's or Master's degree in Software Engineering, Information Technology, or an equivalent engineering discipline is required, complemented by 5 to 10 years of relevant professional experience.