ARTIFICIAL INTELLIGENCE AND AUTOMATION

About the role Senior Data Scientist (Gen AI) role providing intermediate to senior-level system analysis, architecture design, development, and implementation of AI platforms, backend services, APIs, and enterprise AI systems. You will design and develop scalable GenAI applications using LLM frameworks, RAG pipelines, vector databases, and cloud-native backend services. Key responsibilities Designs and develops scalable GenAI applications using LLM frameworks, RAG pipelines, vector databases, and cloud-native backend services Translates business and technical requirements into robust AI engineering solutions, including APIs, agentic workflows, retrieval pipelines, integrations, and data processing components Builds, tests, and deploys AI-powered backend services using Python, FastAPI, Azure OpenAI, Azure AI Services, vector databases, and modern DevOps practices Develops and maintains RAG pipelines, including document ingestion, chunking, embeddings generation, vector indexing, retrieval optimization, and response grounding Implements agentic AI architectures using frameworks such as LangChain, LangGraph, AutoGen, Google Agent SDK, or Model Context Protocol-based integration patterns Integrates AI solutions with enterprise systems, third-party applications, APIs, data platforms, and workflow tools Provides production support for AI applications, including monitoring, troubleshooting, performance tuning, issue resolution, and root cause analysis Participates in design reviews, code reviews, testing reviews, and architecture discussions to ensure scalable, secure, and maintainable AI systems Contributes to AI observability and evaluation practices by monitoring model behavior, retrieval quality, latency, accuracy, hallucination risks, and system performance Maintains and updates technical documentation for AI platforms, backend components, architecture, deployment flows, data pipelines, and operational procedures About you Minimum of 4+ years of professional engineering experience, with hands-on experience in backend/platform engineering and GenAI/LLM systems Bachelor's degree B.E./B.Tech in Computer Science, IT, or related engineering discipline Strong hands-on proficiency in Python for AI application development, backend services, and platform engineering Demonstrable experience building LLM-powered applications, including RAG pipelines, agentic workflows, prompt engineering, and enterprise AI integrations Hands-on expertise with LangChain and LangGraph, with exposure to frameworks such as AutoGen, Google Agent SDK, Model Context Protocol, or Skills-based agent frameworks Experience designing and implementing Retrieval-Augmented Generation pipelines using vector databases such as Azure AI Search, Pinecone, FAISS, Redis Vector, or pgvector Proficiency in building scalable backend services using Python, FastAPI, REST APIs, microservices, and event-driven architecture Experience working with Azure OpenAI and Azure AI Services for enterprise-grade AI solution development Strong understanding of Docker and containerized deployments, with exposure to Kubernetes or OpenShift preferred Experience implementing CI/CD pipelines using GitHub Actions, GitLab CI, or similar DevOps tooling About us EY is 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. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.