Job
Description
Role Overview: As an AI Architect at EY, you will lead the design, development, and deployment of enterprise-grade generative AI solutions leveraging LLMs, diffusion models, and multimodal architectures. Your role will involve combining deep technical expertise with solution architecture, governance, and strategic advisory skills to enable responsible and scalable adoption of GenAI across various business domains. You will collaborate cross-functionally with data scientists, software engineers, risk and compliance teams, and business stakeholders to define reference architectures, integrate with existing systems, and ensure secure, ethical, and compliant AI adoption. Key Responsibilities: - Design scalable and modular architectures for generative AI solutions such as LLMs, chatbots, copilots, document intelligence, image/video generation, etc. - Define integration patterns between LLM platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Google Gemini) and enterprise systems (e.g., SAP, ServiceNow, Salesforce). - Build reference architectures, reusable components, and frameworks for GenAI use cases. - Select and benchmark foundational models and fine-tuning strategies such as RAG, LoRA, adapter-based tuning. - Drive end-to-end solution development from ideation to deployment. - Develop proof-of-concepts and pilots to demonstrate ROI and feasibility. - Collaborate with data engineers to design data pipelines and vector stores for retrieval-augmented generation (RAG). - Guide MLOps and AIOps teams on model lifecycle management, prompt orchestration, versioning, and observability. - Lead the evaluation and adoption of GenAI platforms, APIs, and orchestration tools (Microsoft AutoGen, LangChain, Semantic Kernel, etc.). - Define guardrails for prompt safety, hallucination mitigation, and explainability. Qualifications Required: - Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 10+ years of total experience, including 4+ years in AI/ML solution architecture or enterprise data systems. - Proven experience designing or deploying solutions using LLMs. - Strong programming and architecture skills in Python, API design, and microservices. - Experience with Azure AI Studio, AWS Bedrock, or Google Vertex AI. - Hands-on experience with vector databases and prompt engineering. - Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, Databricks, Azure ML, etc.). Additional Company Details: EY is dedicated to building a better working world by creating new value for clients, people, society, and the planet, while building trust in capital markets. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy, and transactions, providing services in more than 150 countries and territories.,
