EYDS - AI Engineer (Senior)

Job description

About EY EY, a global leader operating in more than 150 countries delivers unparalleled service in Consulting and assists clients to transform and upskill their capabilities. We serve our clients to build a better working world, helping them to create long-term value for people and society and build trust in the capital markets. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we work towards our ambition to be the best employer. The exceptional EY experience. It’s yours to build. As an AI Engineer (Consultant), you will work with cross‑industry clients to design and deliver end‑to‑end AI solutions, including LLM‑based and agentic AI applications, from solution design through cloud deployment and client adoption. Job Responsibilities Design and implement LLM-powered solutions for analytics, decision support, and automation. Develop Natural Language Query (NLQ) agents enabling users to query enterprise data using natural language. Build agentic AI workflows (multi-step reasoning, tool-using agents). Develop user-facing AI applications (chat interfaces, NLQ dashboards, AI assistants). Integrate AI solutions with client data platforms, APIs, and enterprise systems. Deploy AI solutions to cloud environments following security, scalability, and reliability best practices. Support end-to-end delivery: use case discovery, design, development, deployment, and client enablement. Communicate technical solutions clearly to business and executive stakeholders. Core Technical Skills Have at least 3 (three) years of working experience. Strong Python programming skills. Hands-on experience with Large Language Models (LLM) (Azure OpenAI, OpenAI, or open-source models). Solid understanding of SQL and enterprise data model. Proven experience with: Prompt engineering RAG (Retrieval-Augmented Generation). Embeddings and vector search. Experience building agent-based AI solutions, including NLQ agents or AI assistants. Front-End and Integration Skills Experience developing front-end applications using React, Angular, or Vue.js. Ability to integrate front-end applications with AI/ML APIs (REST, streaming responses, authentication). Front-End and Integration Skills Experience deploying applications to cloud platforms (Azure preferred; AWS or GCP acceptable). Hands-on experience with: Containerization (Docker). API deployment (FastAPI / Flask). Cloud services for AI workloads (e.g., Azure OpenAI, App Service, Kubernetes, or equivalent) Understanding of CI/CD pipelines, environment configuration, and basic cloud security concepts. What we look for: We’re interested in passionate individuals with a strong vision and a desire to stay on top of trends. If you have a genuine passion for helping businesses achieve their full potential, then these role(s) are for you. What we offer: Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, on your way Transformative leadership: We’ll give you the insights, coaching, and confidence to be the leader the world needs Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs If you can demonstrate that you meet the criteria above, please contact us as soon as possible.