Senior Generative AI

Job Description We are looking for an experienced Senior Generative AI & Data Engineer to design, develop, and deploy enterprise-scale AI and data platforms. The role focuses on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, and cloud-based data engineering solutions. The successful candidate will lead AI solution architecture, enterprise data platform development, and production deployment of AI-driven applications. Key Responsibilities AI & Generative AI Development Design and deploy LLM and Generative AI solutions using Azure OpenAI, Google Vertex AI, and AWS Bedrock. Develop Agentic AI systems with multi-agent orchestration. Implement RAG pipelines using vector databases and LangChain frameworks. Build scalable enterprise AI applications. Multi-Agent Architecture Develop agent orchestration frameworks supporting: Model Context Protocol (MCP)Agent-to-Agent (A2A) communicationAI workflow automation Implement enterprise AI governance and monitoring. Data Engineering & Platform Development Design enterprise data lake and lakehouse architectures. Develop ETL/ELT pipelines using Spark and PySpark. Implement real-time and batch data processing solutions. MLOps & Deployment Build CI/CD pipelines for AI models. Deploy containerized solutions using Kubernetes and Docker. Monitor model performance and lifecycle management.